/**
* Validation Metric for the Black and White Effect.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams]The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricBlackAndWhiteEffect( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
TAlgoError errorCode = EErrorNotValidated;
TReal64 tolerance = 0;
TReal64 R_Avg_Im1 = 0;
TReal64 G_Avg_Im1 = 0;
TReal64 B_Avg_Im1 = 0;
TReal64 R_Avg_Im2 = 0;
TReal64 G_Avg_Im2 = 0;
TReal64 B_Avg_Im2 = 0;
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
Channel_Average( aImageEffectDisable, &(aMetricParams->iTestCoordinates), &R_Avg_Im1, &G_Avg_Im1, &B_Avg_Im1 );
Channel_Average( aImageEffectEnable, &(aMetricParams->iTestCoordinates), &R_Avg_Im2, &G_Avg_Im2, &B_Avg_Im2 );
//ALGO_Log_1("R_Average %f\n",R_Avg_Im1);
//ALGO_Log_1("G_Average %f\n",G_Avg_Im1);
//ALGO_Log_1("B_Average %f\n",B_Avg_Im1);
tolerance = BLACKANDWHITE_THRESHOLD + ((aMetricParams->iErrorTolerance.iErrorToleranceR * BLACKANDWHITE_THRESHOLD)/100);
if(
(ABS(R_Avg_Im2 - G_Avg_Im2) <= tolerance)&&
(ABS(G_Avg_Im2 - B_Avg_Im2) <= tolerance) &&
(ABS(B_Avg_Im2 - R_Avg_Im2) <= tolerance)
)
//if(R_Avg_Im2 == G_Avg_Im2 == B_Avg_Im2)
{
ALGO_Log_1("R_Average2 %f\n",R_Avg_Im2);
ALGO_Log_1("G_Average2 %f\n",G_Avg_Im2);
ALGO_Log_1("B_Average2 %f\n",B_Avg_Im2);
ALGO_Log_2("ABS(R_Avg_Im2 - G_Avg_Im2) %f, tolerance %f\n", ABS(R_Avg_Im2 - G_Avg_Im2), tolerance);
ALGO_Log_2("ABS(G_Avg_Im2 - B_Avg_Im2) %f, tolerance %f\n", ABS(G_Avg_Im2 - B_Avg_Im2), tolerance);
ALGO_Log_2("ABS(B_Avg_Im2 - R_Avg_Im2) %f, tolerance %f\n", ABS(B_Avg_Im2 - R_Avg_Im2), tolerance);
ALGO_Log_0("Metric BlackAndWhiteEffect : EErrorNone\n");
errorCode = EErrorNone;
}
else
{
ALGO_Log_1("R_Average2 %f\n",R_Avg_Im2);
ALGO_Log_1("G_Average2 %f\n",G_Avg_Im2);
ALGO_Log_1("B_Average2 %f\n",B_Avg_Im2);
ALGO_Log_2("ABS(R_Avg_Im2 - G_Avg_Im2) %f, tolerance %f\n", ABS(R_Avg_Im2 - G_Avg_Im2), tolerance);
ALGO_Log_2("ABS(G_Avg_Im2 - B_Avg_Im2) %f, tolerance %f\n", ABS(G_Avg_Im2 - B_Avg_Im2), tolerance);
ALGO_Log_2("ABS(B_Avg_Im2 - R_Avg_Im2) %f, tolerance %f\n", ABS(B_Avg_Im2 - R_Avg_Im2), tolerance);
ALGO_Log_0("Metric BlackAndWhiteEffect : EErrorNotValidated\n");
errorCode = EErrorNotValidated;
}
return errorCode;
}
/**
* Validation Metric for the Spatial Similarity Effect.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams] The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricRotationEffect( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
TAlgoError errorCode = EErrorNone ;
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
errorCode = GetLumaOn_R_Channel_And_Normalize(aImageEffectDisable, aImageEffectEnable);
if(errorCode!= EErrorNone)
{
return EErrorNotValidated;
}
if (EType0degreesRotation == aMetricParams->iType) //For 0 degrees Rotation Image Metrices.
return ValidationMetric0degreesRotationEffect(aImageEffectDisable,aImageEffectEnable,aMetricParams);
else if (EType90degreesRotation == aMetricParams->iType) //For 90 degrees Rotation Image Metrices.
return ValidationMetric90degreesRotationEffect(aImageEffectDisable,aImageEffectEnable,aMetricParams);
else if (EType180degreesRotation == aMetricParams->iType) //For 180 degrees Rotation Image Metrices.
return ValidationMetric180degreesRotationEffect(aImageEffectDisable,aImageEffectEnable,aMetricParams);
else if (EType270degreesRotation == aMetricParams->iType) //For 270 degrees Rotation Image Metrices.
return ValidationMetric270degreesRotationEffect(aImageEffectDisable,aImageEffectEnable,aMetricParams);
return EErrorNone;
}
/**
* Validation Metric for the ExposurePreset.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams]The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricExposurePreset( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
TAlgoParamExposurePreset *paramExposurePreset = (TAlgoParamExposurePreset*)aMetricParams->iParams;
TAlgoError error = EErrorNotValidated;
TUint32 i = 0;
TUint32 j = 0;
TUint32 temp = 0;
TUint32 medianArrayDisable[256] = {0};
TUint32 medianArrayEnable[256] = {0};
TUint32 medianDisable = 0;
TUint32 medianEnable = 0;
TUint32 index = 0;
TReal64 Avg_Disable = 0;
TReal64 Avg_Enable = 0;
TReal64 diff=0, diffPercentage=0;
TUint32 startingOffset = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
TUint32 offset = (aImageEffectDisable->iImageParams.iImageWidth - aMetricParams->iTestCoordinates.iPixelsToGrabX);
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
ALGO_Log_3("ExposurePreset Metric : iExpoPreset_1 %d, iExpoPreset_2 %d, iTolerance %d\n\n", paramExposurePreset->iExpoPreset_1, paramExposurePreset->iExpoPreset_2, paramExposurePreset->iTolerance);
//Getting the luma component for both images in the R Channel.
for( index=0; index<(aImageEffectDisable->iImageParams.iImageHeight *
aImageEffectDisable->iImageParams.iImageWidth); index++)
{
aImageEffectDisable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectDisable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectDisable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectDisable->iImageData.iBChannel[index]);
aImageEffectEnable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectEnable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectEnable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectEnable->iImageData.iBChannel[index]);
medianArrayDisable[aImageEffectDisable->iImageData.iRChannel[index]]++;
medianArrayEnable[aImageEffectEnable->iImageData.iRChannel[index]]++;
}
//Calculating the average of luma components of both images.
index = startingOffset;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabY; i++ )
{
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabX; j++)
{
Avg_Disable = Avg_Disable + aImageEffectDisable->iImageData.iRChannel[index];
Avg_Enable = Avg_Enable + aImageEffectEnable->iImageData.iRChannel[index];
index++;
}
index = index + offset;
}
Avg_Disable = Avg_Disable/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
Avg_Enable = Avg_Enable/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
//Calculating the median
temp = 0;
for( i=0; i<256; i++ )
{
temp = temp + medianArrayDisable[i];
if(temp > (aImageEffectDisable->iImageParams.iImageHeight * aImageEffectDisable->iImageParams.iImageWidth)/2)
{
break;
}
}
medianDisable = i;
temp = 0;
for( i=0; i<256; i++ )
{
temp = temp + medianArrayEnable[i];
if(temp > (aImageEffectEnable->iImageParams.iImageHeight * aImageEffectEnable->iImageParams.iImageWidth)/2)
{
break;
}
}
medianEnable = i;
//Doing median Check
if(((ABS(Avg_Disable - medianDisable)) < 10) && ((ABS(Avg_Enable - medianEnable)) < 10))
{
ALGO_Log_0("Exposure Preset Metric : Median Check PASSED\n");
ALGO_Log_2("Exposure Preset Metric : Average Disable = %.3f, Median Disable = %d\n", Avg_Disable, medianDisable);
ALGO_Log_2("Exposure Preset Metric : Average Enable = %.3f, Median Enable = %d\n\n", Avg_Enable, medianEnable);
}
else
{
ALGO_Log_0("Exposure Preset Metric : Median Check FAILED\n");
ALGO_Log_2("Exposure Preset Metric : Average Disable = %.3f, Median Disable = %d\n", Avg_Disable, medianDisable);
ALGO_Log_2("Exposure Preset Metric : Average Enable = %.3f, Median Enable = %d\n\n", Avg_Enable, medianEnable);
}
diff = ABS(Avg_Disable - Avg_Enable) ;
diffPercentage = (diff / 256)*100;
ALGO_Log_2("Avg_Disable = %.3f, Avg_Enable = %.3f\n", Avg_Disable, Avg_Enable);
ALGO_Log_3("diff = %.3f, diffPercentage = %.3f, tolerance = %d\n", diff, diffPercentage, paramExposurePreset->iTolerance);
if( diffPercentage < paramExposurePreset->iTolerance )
{
error = EErrorNone;
}
else
{
error = EErrorNotValidated;
ALGO_Log_2("diffPercentage = %.1f, iTolerance = %d\n", diffPercentage, paramExposurePreset->iTolerance);
ALGO_Log_1("Error in %s\n", __FUNCTION__);
}
return error;
}
/**
* Validation Metric for the Contrast Effect.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams]The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricContrastEffect( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
#if 1
TUint32 index = 0;
TUint32 x = 0;
TUint32 y = 0;
TUint32 startingOffset = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
TUint32 offset = (aImageEffectDisable->iImageParams.iImageWidth - aMetricParams->iTestCoordinates.iPixelsToGrabX);
TUint8 *iR = aImageEffectDisable->iImageData.iRChannel + startingOffset;
TUint8 *oR = aImageEffectEnable->iImageData.iRChannel + startingOffset;
//TInt32 DiffInput = 0, DiffOutput = 0; // don't use TInt32 but TReal64 as for big images we can have overflow
TReal64 DiffInput = 0, DiffOutput = 0;
TReal64 SDInput = 0, SDOutput = 0, SDDiff = 0;
TReal64 tolerance = 0;
TUint32 mean_input = 0, mean_output = 0;
TAlgoParamContrast *paramContrast = (TAlgoParamContrast*)aMetricParams->iParams;
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
ALGO_Log_2("Contrast Metric : iPrContrast_1 %d, iPrContrast_2 %d\n\n", paramContrast->iPrContrast_1, paramContrast->iPrContrast_2);
for( index=0; index<(aImageEffectDisable->iImageParams.iImageHeight *
aImageEffectDisable->iImageParams.iImageWidth); index++ )
{
aImageEffectDisable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectDisable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectDisable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectDisable->iImageData.iBChannel[index]);
aImageEffectEnable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectEnable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectEnable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectEnable->iImageData.iBChannel[index]);
}
//ALGO_Log_2("LumaInputMean = %10d, LumaOutputMean = %10d\n", InputMean, OutputMean);
mean_input = 0;
mean_output = 0;
iR = aImageEffectDisable->iImageData.iRChannel + startingOffset;
oR = aImageEffectEnable->iImageData.iRChannel + startingOffset;
for(y=0; y < aMetricParams->iTestCoordinates.iPixelsToGrabY - 1; y++)
{
for (x=0; x < aMetricParams->iTestCoordinates.iPixelsToGrabX - 1; x++)
{
mean_input += *iR;
mean_output += *oR;
iR++;
oR++;
}
iR += offset;
oR += offset;
}
mean_input = mean_input /(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
mean_output = mean_output /(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
ALGO_Log_2("mean_input = %d, mean_output = %d\n", mean_input, mean_output);
iR = aImageEffectDisable->iImageData.iRChannel + startingOffset;
oR = aImageEffectEnable->iImageData.iRChannel + startingOffset;
for(y=0; y < aMetricParams->iTestCoordinates.iPixelsToGrabY - 1; y++)
{
for (x=0; x < aMetricParams->iTestCoordinates.iPixelsToGrabX - 1; x++)
{
DiffInput = DiffInput + ((*iR - mean_input) * (*iR - mean_input));
DiffOutput = DiffOutput + ((*oR - mean_output) * (*oR - mean_output));
iR++;
oR++;
}
iR += offset;
oR += offset;
}
SDInput = SQUAREROOT(DiffInput/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY));
SDOutput = SQUAREROOT(DiffOutput/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY));
ALGO_Log_2("SDInput = %10f, SDOutput = %10f\n", SDInput, SDOutput);
tolerance = (aMetricParams->iErrorTolerance.iErrorToleranceR * CONTRAST_THRESHOLD)/100;
ALGO_Log_2("CONTRAST_THRESHOLD = %d, (CONTRAST_THRESHOLD - tolerance) = %10f\n", CONTRAST_THRESHOLD, (CONTRAST_THRESHOLD - tolerance));
if(paramContrast->iPrContrast_1 < paramContrast->iPrContrast_2)
{
SDDiff = SDOutput - SDInput;
}
else
{
SDDiff = SDInput - SDOutput;
}
ALGO_Log_1("SDDiff = %10f\n", SDDiff);
if( SDDiff > (CONTRAST_THRESHOLD - tolerance))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
#else
TReal64 R_Avg_Im1 = 0;
TReal64 G_Avg_Im1 = 0;
TReal64 B_Avg_Im1 = 0;
TReal64 Intensity_Im1 = 0;
TReal64 R_Avg_Im2 = 0;
TReal64 G_Avg_Im2 = 0;
TReal64 B_Avg_Im2 = 0;
TReal64 Intensity_Im2 = 0;
Channel_Average( aImageEffectDisable, &(aMetricParams->iTestCoordinates), &R_Avg_Im1, &G_Avg_Im1, &B_Avg_Im1 );
Channel_Average( aImageEffectEnable, &(aMetricParams->iTestCoordinates), &R_Avg_Im2, &G_Avg_Im2, &B_Avg_Im2 );
Intensity_Im1 = (R_Avg_Im1 + G_Avg_Im1 + B_Avg_Im1)/3.255;
Intensity_Im2 = (R_Avg_Im2 + G_Avg_Im2 + B_Avg_Im2)/3.255;
ALGO_Log_2("Intensity_Im1 = %10f, Intensity_Im2 %10f\n", Intensity_Im1, Intensity_Im2);
if( Intensity_Im1 > Intensity_Im2)
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
#endif
}
/**
* Validation Metric for the Auto Focus Effect.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams] The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricAutoFocusEffect( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
TReal64 HorizPixelDiffEffectEnableR = 0;
//TReal64 HorizPixelDiffEffectEnableG = 0;
//TReal64 HorizPixelDiffEffectEnableB = 0;
TReal64 VertPixelDiffEffectEnableR = 0;
//TReal64 VertPixelDiffEffectEnableG = 0;
//TReal64 VertPixelDiffEffectEnableB = 0;
TReal64 HorizPixelDiffEffectDisableR = 0;
//TReal64 HorizPixelDiffEffectDisableG = 0;
//TReal64 HorizPixelDiffEffectDisableB = 0;
TReal64 VertPixelDiffEffectDisableR = 0;
//TReal64 VertPixelDiffEffectDisableG = 0;
//TReal64 VertPixelDiffEffectDisableB = 0;
//TReal64 HorizPixelDiffEffectEnableLuminance = 0;
//TReal64 VertPixelDiffEffectEnableLuminance = 0;
//TReal64 HorizPixelDiffEffectDisableLuminance = 0;
//TReal64 VertPixelDiffEffectDisableLuminance = 0;
//TReal64 HorizPixelDiffEffectEnableLuminanceFullImage = 0;
//TReal64 VertPixelDiffEffectEnableLuminanceFullImage = 0;
//TReal64 HorizPixelDiffEffectDisableLuminanceFullImage = 0;
//TReal64 VertPixelDiffEffectDisableLuminanceFullImage = 0;
TReal64 tolerance = 0;
TReal64 threshold = 0;
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
ALGO_Log_2("iPixelsToGrabX = %d, iPixelsToGrabY = %d\n", aMetricParams->iTestCoordinates.iPixelsToGrabX, aMetricParams->iTestCoordinates.iPixelsToGrabY);
/*
CalculateImageHorizontalDiff( aImageEffectEnable,
&HorizPixelDiffEffectEnableR,
&HorizPixelDiffEffectEnableG,
&HorizPixelDiffEffectEnableB,
&HorizPixelDiffEffectEnableLuminance,
&aMetricParams->iTestCoordinates );
CalculateImageVerticalDiff( aImageEffectEnable,
&VertPixelDiffEffectEnableR,
&VertPixelDiffEffectEnableG,
&VertPixelDiffEffectEnableB,
&VertPixelDiffEffectEnableLuminance,
&aMetricParams->iTestCoordinates );
CalculateImageHorizontalDiff( aImageEffectDisable,
&HorizPixelDiffEffectDisableR,
&HorizPixelDiffEffectDisableG,
&HorizPixelDiffEffectDisableB,
&HorizPixelDiffEffectDisableLuminance,
&aMetricParams->iTestCoordinates );
CalculateImageVerticalDiff( aImageEffectDisable,
&VertPixelDiffEffectDisableR,
&VertPixelDiffEffectDisableG,
&VertPixelDiffEffectDisableB,
&VertPixelDiffEffectDisableLuminance,
&aMetricParams->iTestCoordinates );
ALGO_Log_1("HorizPixelDiffEffectEnableLuminance/HorizPixelDiffEffectDisableLuminance = %1.2lf\n\n", (double)(HorizPixelDiffEffectEnableLuminance/HorizPixelDiffEffectDisableLuminance));
ALGO_Log_1("VertPixelDiffEffectEnableLuminance/VertPixelDiffEffectDisableLuminance = %1.2lf\n\n", (double)(VertPixelDiffEffectEnableLuminance/VertPixelDiffEffectDisableLuminance));
tolerance = ((aMetricParams->iErrorTolerance.iErrorToleranceR) * (AUTO_FOCUS_THRESHOLD - 1))/100;
threshold = AUTO_FOCUS_THRESHOLD - tolerance;
ALGO_Log_1("threshold = %f\n", threshold);
if(((HorizPixelDiffEffectEnableLuminance/HorizPixelDiffEffectDisableLuminance) > threshold) &&
((VertPixelDiffEffectEnableLuminance/VertPixelDiffEffectDisableLuminance) > threshold))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
*/
{
TAlgoError errorCode = EErrorNone ;
errorCode = GetLumaOn_R_Channel_And_Normalize(aImageEffectDisable, aImageEffectEnable);
if(errorCode!= EErrorNone)
{
return EErrorNotValidated;
}
}
CalculateImageHorizontalDiff_R( aImageEffectEnable,
&HorizPixelDiffEffectEnableR,
&aMetricParams->iTestCoordinates );
CalculateImageVerticalDiff_R( aImageEffectEnable,
&VertPixelDiffEffectEnableR,
&aMetricParams->iTestCoordinates );
CalculateImageHorizontalDiff_R( aImageEffectDisable,
&HorizPixelDiffEffectDisableR,
&aMetricParams->iTestCoordinates );
CalculateImageVerticalDiff_R( aImageEffectDisable,
&VertPixelDiffEffectDisableR,
&aMetricParams->iTestCoordinates );
ALGO_Log_1("HorizPixelDiffEffectDisableR = %1.2lf\n\n", (double)(HorizPixelDiffEffectDisableR));
ALGO_Log_1("VertPixelDiffEffectDisableR = %1.2lf\n\n", (double)(VertPixelDiffEffectDisableR));
ALGO_Log_1("HorizPixelDiffEffectEnableR = %1.2lf\n\n", (double)(HorizPixelDiffEffectEnableR));
ALGO_Log_1("VertPixelDiffEffectEnableR = %1.2lf\n\n", (double)(VertPixelDiffEffectEnableR));
ALGO_Log_1("HorizPixelDiffEffectEnableR/HorizPixelDiffEffectDisableR = %1.2lf\n\n", (double)(HorizPixelDiffEffectEnableR/HorizPixelDiffEffectDisableR));
ALGO_Log_1("VertPixelDiffEffectEnableR/VertPixelDiffEffectDisableR = %1.2lf\n\n", (double)(VertPixelDiffEffectEnableR/VertPixelDiffEffectDisableR));
tolerance = ((aMetricParams->iErrorTolerance.iErrorToleranceR) * (AUTO_FOCUS_THRESHOLD - 1))/100;
threshold = AUTO_FOCUS_THRESHOLD - tolerance;
ALGO_Log_1("AUTO_FOCUS_THRESHOLD = %f\n", AUTO_FOCUS_THRESHOLD);
ALGO_Log_1("tolerance_param in percent = %d\n", aMetricParams->iErrorTolerance.iErrorToleranceR);
ALGO_Log_1("threshold = %f\n", threshold);
if(((HorizPixelDiffEffectEnableR/HorizPixelDiffEffectDisableR) > threshold) &&
((VertPixelDiffEffectEnableR/VertPixelDiffEffectDisableR) > threshold))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
}
TAlgoError ValidationMetric270degreesRotationEffect( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
TUint32 i = 0;
TUint32 j = 0;
TUint32 indexDisable =0;
TUint32 indexEnable =0;
TInt32 error1 = 0;
TInt32 error_mean_row = 0, error_mean_col = 0, error_mean_row_total = 0, error_mean_col_total = 0;
TInt32 deviationCol = 0;
TInt32 deviationRow = 0;
TUint32 colonimg1 = 0;
TUint32 colonimg2 = 0;
TUint32 rowimg1 = 0;
TUint32 rowimg2 = 0;
#ifdef ROTATION_OLD_WAY
TReal64 toleranceCol = 0;
TReal64 toleranceRow = 0;
#endif
TInt32 colonDiff = 0;
TInt32 rowDiff = 0;
TUint32 startingOffsetDisable = 0, startingOffsetEnable = 0;
TUint32 EnableWidthWorking = 0;
TUint32 EnableHeightWorking = 0;
ALGO_Log_1("entering rotation %s\n", __FUNCTION__);
ALGO_Log_2("iStartIndexX %d , iStartIndexY %d\n", aMetricParams->iTestCoordinates.iStartIndexX, aMetricParams->iTestCoordinates.iStartIndexY);
ALGO_Log_2("iPixelsToGrabX %d , iPixelsToGrabY %d\n", aMetricParams->iTestCoordinates.iPixelsToGrabX, aMetricParams->iTestCoordinates.iPixelsToGrabY);
ALGO_Log_4("Disable width x height = %d x %d, stride %d, sliceheight %d\n", aImageEffectDisable->iImageParams.iImageWidth, aImageEffectDisable->iImageParams.iImageHeight, aImageEffectDisable->iImageParams.iImageStride, aImageEffectDisable->iImageParams.iImageSliceHeight);
ALGO_Log_4("Enable width x height = %d x %d, stride %d, sliceheight %d\n", aImageEffectEnable->iImageParams.iImageWidth, aImageEffectEnable->iImageParams.iImageHeight, aImageEffectEnable->iImageParams.iImageStride, aImageEffectEnable->iImageParams.iImageSliceHeight);
EnableWidthWorking = aImageEffectDisable->iImageParams.iImageHeight;
ALGO_Log_1("EnableWidthWorking %d\n", EnableWidthWorking);
EnableHeightWorking = aImageEffectDisable->iImageParams.iImageWidth;
ALGO_Log_1("EnableHeightWorking %d\n", EnableHeightWorking);
startingOffsetDisable = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
startingOffsetEnable = EnableWidthWorking * (EnableHeightWorking - aMetricParams->iTestCoordinates.iStartIndexX -1)
+ aMetricParams->iTestCoordinates.iStartIndexY;
error_mean_col = 0;
error_mean_col_total = 0;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabX; i++ )
{
indexDisable = startingOffsetDisable;// First Column.
indexEnable = startingOffsetEnable;// row.
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabY; j++)
{
colonimg1 = colonimg1 + aImageEffectDisable->iImageData.iRChannel[indexDisable];
rowimg2 = rowimg2 + aImageEffectEnable->iImageData.iRChannel[indexEnable];
indexDisable = indexDisable + aImageEffectDisable->iImageParams.iImageWidth;
indexEnable++;
}
colonimg1 = colonimg1/aMetricParams->iTestCoordinates.iPixelsToGrabX;
rowimg2 = rowimg2/aMetricParams->iTestCoordinates.iPixelsToGrabX;
rowDiff = colonimg1 - rowimg2;
error1 = ABS(rowDiff);
error_mean_col_total += error1;
if(error1 > ROTATION_THRESHOLD)
{
#ifdef ROTATION_OLD_WAY
ALGO_Log_3("\t\t deviationCol++, w_i=%d, error1 = %d > %d = ROTATION_THRESHOLD\n", i, error1, ROTATION_THRESHOLD);
#endif
deviationCol++;
error_mean_col += error1;
}
colonimg1 = 0;
rowimg2 = 0;
startingOffsetDisable++; // Next Column
startingOffsetEnable = startingOffsetEnable - EnableWidthWorking; // Next Row
}
if(deviationCol != 0)
{
error_mean_col = error_mean_col / deviationCol;
}
error_mean_col_total = error_mean_col_total / i;
startingOffsetDisable = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
startingOffsetEnable = EnableWidthWorking * (EnableHeightWorking - aMetricParams->iTestCoordinates.iStartIndexX - 1)
+ aMetricParams->iTestCoordinates.iStartIndexY;
error_mean_row = 0;
error_mean_row_total = 0;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabY; i++ )
{
indexDisable = startingOffsetDisable;// First Row.
indexEnable = startingOffsetEnable;// Column.
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabX; j++)
{
rowimg1 = rowimg1 + aImageEffectDisable->iImageData.iRChannel[indexDisable];
colonimg2 = colonimg2 + aImageEffectEnable->iImageData.iRChannel[indexEnable];
indexDisable ++;
indexEnable = indexEnable - EnableWidthWorking;
}
rowimg1 = rowimg1/aMetricParams->iTestCoordinates.iPixelsToGrabY;
colonimg2 = colonimg2/aMetricParams->iTestCoordinates.iPixelsToGrabY;
colonDiff = colonimg2 - rowimg1;
error1 = ABS(colonDiff);
error_mean_row_total += error1;
if(error1 > ROTATION_THRESHOLD)
{
#ifdef ROTATION_OLD_WAY
ALGO_Log_3("\t\t deviationRow++, h_i=%d, error1 = %d > %d = ROTATION_THRESHOLD\n", i, error1, ROTATION_THRESHOLD);
#endif
deviationRow++;
error_mean_row += error1;
}
rowimg1 = 0;
colonimg2 = 0;
startingOffsetDisable = startingOffsetDisable + aImageEffectDisable->iImageParams.iImageWidth; // Next Row
startingOffsetEnable++; // Column
}
if(deviationRow != 0)
{
error_mean_row = error_mean_row / deviationRow;
}
error_mean_row_total = error_mean_row_total / i;
#ifdef ROTATION_OLD_WAY
toleranceCol = ( aMetricParams->iErrorTolerance.iErrorToleranceR * aMetricParams->iTestCoordinates.iPixelsToGrabX )/100;
toleranceRow = ( aMetricParams->iErrorTolerance.iErrorToleranceR * aMetricParams->iTestCoordinates.iPixelsToGrabY )/100;
ALGO_Log_4("deviationCol = %10d, deviationRow = %10d, toleranceCol = %10f, toleranceRow = %10f\n", deviationCol, deviationRow, toleranceCol, toleranceRow);
ALGO_Log_3("error_mean_col = %d, error_mean_row = %d, ROTATION_THRESHOLD = %d\n", error_mean_col, error_mean_row, ROTATION_THRESHOLD);
if((deviationCol <= toleranceCol)&&(deviationRow <= toleranceRow))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;;
}
#else
ALGO_Log_3("error_mean_col_total = %d, error_mean_row_total = %d, ROTATION_THRESHOLD_TOTAL = %d\n", error_mean_col_total, error_mean_row_total, ROTATION_THRESHOLD_TOTAL);
if((error_mean_col_total <= ROTATION_THRESHOLD_TOTAL)&&(error_mean_row_total <= ROTATION_THRESHOLD_TOTAL))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;;
}
#endif
}
/**
* Validation Metric for the Negative Effect.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams] The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricNegativeEffect( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
#if 1
TUint32 i = 0;
TUint32 j = 0;
TUint32 index = 0;
TUint32 deviation = 0;
TReal64 tolerance = 0;
TReal64 deltaR = 0;
TReal64 deltaG = 0;
TReal64 deltaB = 0;
TUint32 startingOffset = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
TUint32 offset = (aImageEffectDisable->iImageParams.iImageWidth - aMetricParams->iTestCoordinates.iPixelsToGrabX);
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
index = startingOffset;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabY; i++ )
{
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabX; j++)
{
deltaR = ABS((255 - aImageEffectEnable->iImageData.iRChannel[index]) - (aImageEffectDisable->iImageData.iRChannel[index]));
deltaG = ABS((255 - aImageEffectEnable->iImageData.iGChannel[index]) - (aImageEffectDisable->iImageData.iGChannel[index]));
deltaB = ABS((255 - aImageEffectEnable->iImageData.iBChannel[index]) - (aImageEffectDisable->iImageData.iBChannel[index]));
if((deltaR > NEGATIVE_THRESHOLD) ||
(deltaG > NEGATIVE_THRESHOLD) ||
(deltaB > NEGATIVE_THRESHOLD))
{
deviation++;
}
index++;
}
index = index + offset;
}
tolerance = ( aMetricParams->iTestCoordinates.iPixelsToGrabX *
aMetricParams->iTestCoordinates.iPixelsToGrabY *
aMetricParams->iErrorTolerance.iErrorToleranceR ) / 100;
ALGO_Log_2("deviation = %d, Tolerance = %f\n", deviation, tolerance);
if(deviation <= (tolerance))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
#else
//TUint32 loop = 0;
TReal64 R_Avg_Im1 = 0;
TReal64 G_Avg_Im1 = 0;
TReal64 B_Avg_Im1 = 0;
TReal64 R_Avg_Im2 = 0;
TReal64 G_Avg_Im2 = 0;
TReal64 B_Avg_Im2 = 0;
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
Channel_Average( aImageEffectDisable, &(aMetricParams->iTestCoordinates), &R_Avg_Im1, &G_Avg_Im1, &B_Avg_Im1 );
Channel_Average( aImageEffectEnable, &(aMetricParams->iTestCoordinates), &R_Avg_Im2, &G_Avg_Im2, &B_Avg_Im2 );
if(((R_Avg_Im1 < (aImageEffectDisable->iImageParams.iBitMaxR/2 - aMetricParams->iMetricRange.iRangeR)) || (R_Avg_Im1 > (aImageEffectDisable->iImageParams.iBitMaxR/2 + aMetricParams->iMetricRange.iRangeR))) &&
((G_Avg_Im1 < (aImageEffectDisable->iImageParams.iBitMaxG/2 - aMetricParams->iMetricRange.iRangeG)) || (G_Avg_Im1 > (aImageEffectDisable->iImageParams.iBitMaxG/2 + aMetricParams->iMetricRange.iRangeG))) &&
((B_Avg_Im1 < (aImageEffectDisable->iImageParams.iBitMaxB/2 - aMetricParams->iMetricRange.iRangeB)) || (B_Avg_Im1 > (aImageEffectDisable->iImageParams.iBitMaxB/2 + aMetricParams->iMetricRange.iRangeB))))
{
if((ABS(R_Avg_Im1 - (aImageEffectDisable->iImageParams.iBitMaxR - R_Avg_Im2)) <= aMetricParams->iErrorTolerance.iErrorToleranceR ) &&
(ABS(G_Avg_Im1 - (aImageEffectDisable->iImageParams.iBitMaxG - G_Avg_Im2)) <= aMetricParams->iErrorTolerance.iErrorToleranceG ) &&
(ABS(B_Avg_Im1 - (aImageEffectDisable->iImageParams.iBitMaxB - B_Avg_Im2)) <= aMetricParams->iErrorTolerance.iErrorToleranceB ))
//if((R_Avg_Im1 == 31 - R_Avg_Im2) & (G_Avg_Im1 == 63 - G_Avg_Im2) & (B_Avg_Im1 == 31 - B_Avg_Im2))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
}
else
{
return EErrorImageNotRelevant;
}
#endif
}
/**
* Validation Metric for the Solarize Effect.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams]The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricSolarizeEffect( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
#if 1
TUint32 i = 0;
TUint32 j = 0;
TUint32 index = 0;
TUint32 index1 = 0;
TInt32 negCheck = 0;
TInt32 posCheck = 0;
//TUint32 x = 0;
//TUint32 y = 0;
TReal64 negTolerance = 0;
TReal64 posTolerance = 0;
TReal64 colonCurrentRImg1 = 0;
TReal64 colonCurrentRImg2 = 0;
TReal64 colonPreviousImg1 = 0;
TReal64 colonPreviousImg2 = 0;
TInt32 posDeviationImg1 = 0;
TInt32 negDeviationImg1 = 0;
TInt32 posDeviationImg2 = 0;
TInt32 negDeviationImg2 = 0;
TUint32 startingOffset = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
for( index=0; index<(aImageEffectDisable->iImageParams.iImageHeight *
aImageEffectDisable->iImageParams.iImageWidth); index++ )
{
aImageEffectDisable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectDisable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectDisable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectDisable->iImageData.iBChannel[index]);
aImageEffectEnable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectEnable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectEnable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectEnable->iImageData.iBChannel[index]);
}
index1 = startingOffset;
index = index1;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabX; i=i+10 )
{
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabY; j++)
{
colonCurrentRImg1 = colonCurrentRImg1 + aImageEffectDisable->iImageData.iRChannel[index];
index = index + aImageEffectDisable->iImageParams.iImageWidth;
}
colonCurrentRImg1 = colonCurrentRImg1/aMetricParams->iTestCoordinates.iPixelsToGrabY;
if((colonCurrentRImg1 - colonPreviousImg1) > SOLARIZE_THRESHOLD)
{
posDeviationImg1++;
colonPreviousImg1 = colonCurrentRImg1;
}
if((colonPreviousImg1 - colonCurrentRImg1) > SOLARIZE_THRESHOLD)
{
negDeviationImg1++;
colonPreviousImg1 = colonCurrentRImg1;
}
colonCurrentRImg1 = 0;
index1 = index1 + 10;
index = index1;
}
index1 = startingOffset;
index = index1;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabX; i=i+10 )
{
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabY; j++)
{
colonCurrentRImg2 = colonCurrentRImg2 + aImageEffectEnable->iImageData.iRChannel[index];
index = index + aImageEffectEnable->iImageParams.iImageWidth;
}
colonCurrentRImg2 = colonCurrentRImg2/aMetricParams->iTestCoordinates.iPixelsToGrabY;
if((colonCurrentRImg2 - colonPreviousImg2) > SOLARIZE_THRESHOLD)
{
posDeviationImg2++;
colonPreviousImg2 = colonCurrentRImg2;
}
if((colonPreviousImg2 - colonCurrentRImg2) > SOLARIZE_THRESHOLD)
{
negDeviationImg2++;
colonPreviousImg2 = colonCurrentRImg2;
}
colonCurrentRImg2 = 0;
index1 = index1 + 10;
index = index1;
}
ALGO_Log_2("posDeviationImg1 = %2d, negDeviationImg1 = %2d\n", posDeviationImg1, negDeviationImg1);
ALGO_Log_2("posDeviationImg2 = %2d, negDeviationImg2 = %2d\n", posDeviationImg2, negDeviationImg2);
negTolerance = SOLARIZE_CHECK_NEG_THRESHOLD - ((SOLARIZE_CHECK_NEG_THRESHOLD * aMetricParams->iErrorTolerance.iErrorToleranceR)/100);
posTolerance = SOLARIZE_CHECK_POS_THRESHOLD - ((SOLARIZE_CHECK_NEG_THRESHOLD * aMetricParams->iErrorTolerance.iErrorToleranceR)/100);
negCheck =(negDeviationImg2 - negDeviationImg1);
posCheck =(posDeviationImg1 - posDeviationImg2);
if((negCheck > negTolerance) && (posCheck > posTolerance))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
#else
TUint32 index = 0;
TUint32 x = 0;
TUint32 y = 0;
TUint32 InputMean = 0;
TUint32 OutputMean = 0;
TUint32 startingOffset = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
TUint32 offset = (aImageEffectDisable->iImageParams.iImageWidth - aMetricParams->iTestCoordinates.iPixelsToGrabX);
TUint8 *iR = aImageEffectDisable->iImageData.iRChannel + startingOffset;
TUint8 *oR = aImageEffectEnable->iImageData.iRChannel + startingOffset;
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
for( index=0; index<(aImageEffectDisable->iImageParams.iImageHeight *
aImageEffectDisable->iImageParams.iImageWidth); index++ )
{
aImageEffectDisable->iImageData.iRChannel[index] = LUMINANCE_R_COEF * aImageEffectDisable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectDisable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectDisable->iImageData.iBChannel[index];
aImageEffectEnable->iImageData.iRChannel[index] = LUMINANCE_R_COEF * aImageEffectEnable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectEnable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectEnable->iImageData.iBChannel[index];
}
for(y=0; y < aMetricParams->iTestCoordinates.iPixelsToGrabY - 1; y++)
{
for (x=0; x < aMetricParams->iTestCoordinates.iPixelsToGrabX - 1; x++)
{
if(*iR < 128)
{
*iR = (*iR) * 2;
}
else
{
*iR = 512 - ((*iR) * 2);
}
InputMean = InputMean + *iR;
OutputMean = OutputMean + *oR;
iR++;
oR++;
}
iR += offset;
oR += offset;
}
InputMean = InputMean/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
OutputMean = OutputMean/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
ALGO_Log_2("LumaInputMean = %10d, LumaOutputMean = %10d\n", InputMean, OutputMean);
if( InputMean/OutputMean > 2)
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
//////////////////////////////////////Second Approach//////////////////////////////////////
TReal64 R_Avg_Im1 = 0;
TReal64 G_Avg_Im1 = 0;
TReal64 B_Avg_Im1 = 0;
TReal64 Intensity_Im1 = 0;
TReal64 R_Avg_Im2 = 0;
TReal64 G_Avg_Im2 = 0;
TReal64 B_Avg_Im2 = 0;
TReal64 Intensity_Im2 = 0;
TUint32 index = 0;
TUint32 x = 0;
TUint32 y = 0;
TUint32 startingOffset = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
TUint32 offset = (aImageEffectDisable->iImageParams.iImageWidth - aMetricParams->iTestCoordinates.iPixelsToGrabX);
TUint8 *iR = aImageEffectDisable->iImageData.iRChannel + startingOffset;
TUint8 *iG = aImageEffectDisable->iImageData.iGChannel + startingOffset;
TUint8 *iB = aImageEffectDisable->iImageData.iBChannel + startingOffset;
//TUint8 *oR = aImageEffectEnable->iImageData.iRChannel + startingOffset;
//TUint8 *oG = aImageEffectEnable->iImageData.iGChannel + startingOffset;
//TUint8 *oB = aImageEffectEnable->iImageData.iBChannel + startingOffset;
TUint8 temp = 0;
//TUint32 itemp = 0;
//TUint32 otemp = 0;
for(y=0; y < aMetricParams->iTestCoordinates.iPixelsToGrabY; y++)
{
for(x=0; x < aMetricParams->iTestCoordinates.iPixelsToGrabX; x++)
{
if(*iR < 128)
{
*iR = (*iR) * 2;
}
else
{
if(*iR != 128)
{
*iR = 510 - ((*iR) * 2);
}
}
if(*iG < 128)
{
*iG = (*iG) * 2;
}
else
{
if(*iG != 128)
{
*iG = 510 - ((*iG) * 2);
}
}
if(*iB < 128)
{
*iB = (*iB) * 2;
}
else
{
if(*iB != 128)
{
*iB = 510 - ((*iB) * 2);
}
}
/*
itemp = ((*iR)+(*iG)+(*iB))/3;
if(itemp < 128)
{
itemp = itemp * 2;
}
else
{
itemp = 512 - (itemp * 2);
}
otemp = ((*oR)+(*oG)+(*oB))/3;
Intensity_Im1 = Intensity_Im1 + itemp;
Intensity_Im2 = Intensity_Im2 + otemp;
*/
iR++;
iG++;
iB++;
//oR++;
//oG++;
//oB++;
}
iR += offset;
iG += offset;
iB += offset;
//oR += offset;
//oG += offset;
//oB += offset;
}
Channel_Average( aImageEffectDisable, &(aMetricParams->iTestCoordinates), &R_Avg_Im1, &G_Avg_Im1, &B_Avg_Im1 );
Channel_Average( aImageEffectEnable, &(aMetricParams->iTestCoordinates), &R_Avg_Im2, &G_Avg_Im2, &B_Avg_Im2 );
//Intensity_Im1 = Intensity_Im1/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
//Intensity_Im2 = Intensity_Im2/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
Intensity_Im1 = (R_Avg_Im1 + G_Avg_Im1 + B_Avg_Im1)/3.255;
Intensity_Im2 = (R_Avg_Im2 + G_Avg_Im2 + B_Avg_Im2)/3.255;
ALGO_Log_2("Intensity_Im1 = %10f, Intensity_Im2 %10f\n", Intensity_Im1, Intensity_Im2);
if( Intensity_Im1 == Intensity_Im2)
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
#endif
}
/**
* Validation Metric for the Gamma Effect.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams]The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricGammaEffect( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
TUint32 i = 0;
TUint32 j = 0;
TUint32 index = 0;
TUint32 index1 = 0;
TReal64 tolerance = 0;
TReal64 colonCurrentRImg1 = 0;
TReal64 colonCurrentRImg2 = 0;
TReal64 colonPreviousImg1 = 0;
TReal64 colonPreviousImg2 = 0;
TInt32 posDeviationImg1 = 0;
TInt32 negDeviationImg1 = 0;
TInt32 posDeviationImg2 = 0;
TInt32 negDeviationImg2 = 0;
TReal64 prevDeviation = 0;
TReal64 currDeviation = 0;
TUint32 startingOffset = 0;
TAlgoParamGamma *paramGamma = (TAlgoParamGamma*)aMetricParams->iParams;
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
ALGO_Log_2("Gamma Metric : iPrGamma_1 %d, iPrGamma_2 %d\n\n", paramGamma->iPrGamma_1, paramGamma->iPrGamma_2);
startingOffset = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
for( index=0; index<(aImageEffectDisable->iImageParams.iImageHeight * aImageEffectDisable->iImageParams.iImageWidth); index++ )
{
aImageEffectDisable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectDisable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectDisable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectDisable->iImageData.iBChannel[index]);
aImageEffectEnable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectEnable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectEnable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectEnable->iImageData.iBChannel[index]);
}
index1 = startingOffset;
index = index1;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabX; i=i+50 )
{
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabY; j++)
{
colonCurrentRImg1 = colonCurrentRImg1 + aImageEffectDisable->iImageData.iRChannel[index];
index = index + aImageEffectDisable->iImageParams.iImageWidth;
}
colonCurrentRImg1 = colonCurrentRImg1/aMetricParams->iTestCoordinates.iPixelsToGrabY;
if (i == 0)
{
colonPreviousImg1 = colonCurrentRImg1;
}
currDeviation = (colonCurrentRImg1 - colonPreviousImg1);
ALGO_Log_1("currDeviation = %2f \n", currDeviation);
if((currDeviation - prevDeviation) > 0)
{
posDeviationImg1++;
//colonPreviousImg1 = colonCurrentRImg1;
}
if((prevDeviation - currDeviation) > 0)
{
negDeviationImg1++;
//colonPreviousImg1 = colonCurrentRImg1;
}
prevDeviation = currDeviation;
colonPreviousImg1 = colonCurrentRImg1;
colonCurrentRImg1 = 0;
index1 = index1 + 50;
index = index1;
}
prevDeviation = 0;
currDeviation = 0;
index1 = startingOffset;
index = index1;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabX; i=i+50 )
{
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabY; j++)
{
colonCurrentRImg2 = colonCurrentRImg2 + aImageEffectEnable->iImageData.iRChannel[index];
index = index + aImageEffectEnable->iImageParams.iImageWidth;
}
colonCurrentRImg2 = colonCurrentRImg2/aMetricParams->iTestCoordinates.iPixelsToGrabY;
if (i == 0)
{
colonPreviousImg2 = colonCurrentRImg2;
}
currDeviation = (colonCurrentRImg2 - colonPreviousImg2);
ALGO_Log_1("currDeviation = %2f \n", currDeviation);
if((currDeviation - prevDeviation) > 0)
{
posDeviationImg2++;
//colonPreviousImg2 = colonCurrentRImg2;
}
if((prevDeviation - currDeviation) > 0)
{
negDeviationImg2++;
//colonPreviousImg2 = colonCurrentRImg2;
}
prevDeviation = currDeviation;
colonPreviousImg2 = colonCurrentRImg2;
colonCurrentRImg2 = 0;
index1 = index1 + 50;
index = index1;
}
ALGO_Log_2("posDeviationImg1 = %2d, negDeviationImg1 = %2d\n", posDeviationImg1, negDeviationImg1);
ALGO_Log_2("posDeviationImg2 = %2d, negDeviationImg2 = %2d\n", posDeviationImg2, negDeviationImg2);
tolerance = GAMMA_THRESHOLD - aMetricParams->iErrorTolerance.iErrorToleranceR;
if(((ABS(negDeviationImg1 - posDeviationImg1)) - (ABS(negDeviationImg2 - posDeviationImg2))) > tolerance)
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
}
/**
* Validation Metric for the ExposureValue.
*
* @param aImageEffectDisable [TAlgoImage] The image with Effect Disable.
* @param aImageEffectEnable [TAlgoImage] The image with Effect Enable.
* @param aMetricParams [TAlgoMetricParams]The metric parameters to be applied.
*
* @return [TAlgoError] EErrorNone if the validation is passed.
*/
TAlgoError ValidationMetricExposureValue( const TAlgoImage* aImageEffectDisable,
const TAlgoImage* aImageEffectEnable,
const TAlgoMetricParams* aMetricParams )
{
TUint32 i = 0;
TUint32 j = 0;
TUint32 index = 0;
TReal64 Avg_Disable = 0;
TReal64 Avg_Enable = 0;
TAlgoParamExposureValue *paramExposureValue = (TAlgoParamExposureValue*)aMetricParams->iParams;
TUint32 startingOffset = aMetricParams->iTestCoordinates.iStartIndexY * aImageEffectDisable->iImageParams.iImageWidth
+ aMetricParams->iTestCoordinates.iStartIndexX;
TUint32 offset = (aImageEffectDisable->iImageParams.iImageWidth - aMetricParams->iTestCoordinates.iPixelsToGrabX);
ALGO_Log_1("entering %s\n", __FUNCTION__);
ALGO_Log_3("ToleranceR = %f, ToleranceG = %f, ToleranceB = %f\n", aMetricParams->iErrorTolerance.iErrorToleranceR, aMetricParams->iErrorTolerance.iErrorToleranceG, aMetricParams->iErrorTolerance.iErrorToleranceB);
switch(paramExposureValue->iExpoValueType)
{
case EExpoValue_Metering:
{
}
break;
case EExpoValue_EVCompensation:
case EExpoValue_Senstivity:
{
//Getting the luma component for both images in the R Channel.
for( index=0; index<(aImageEffectDisable->iImageParams.iImageHeight *
aImageEffectDisable->iImageParams.iImageWidth); index++)
{
aImageEffectDisable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectDisable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectDisable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectDisable->iImageData.iBChannel[index]);
aImageEffectEnable->iImageData.iRChannel[index] = (TUint8)(LUMINANCE_R_COEF * aImageEffectEnable->iImageData.iRChannel[index]
+ LUMINANCE_G_COEF * aImageEffectEnable->iImageData.iGChannel[index]
+ LUMINANCE_B_COEF * aImageEffectEnable->iImageData.iBChannel[index]);
}
//Calculating the average of luma components of both images.
index = startingOffset;
for( i=0; i<aMetricParams->iTestCoordinates.iPixelsToGrabY; i++ )
{
for(j=0; j<aMetricParams->iTestCoordinates.iPixelsToGrabX; j++)
{
Avg_Disable = Avg_Disable + aImageEffectDisable->iImageData.iRChannel[index];
Avg_Enable = Avg_Enable + aImageEffectEnable->iImageData.iRChannel[index];
index++;
}
index = index + offset;
}
Avg_Disable = Avg_Disable/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
Avg_Enable = Avg_Enable/(aMetricParams->iTestCoordinates.iPixelsToGrabX * aMetricParams->iTestCoordinates.iPixelsToGrabY);
//Ratio Test
if(((Avg_Enable/Avg_Disable) > 1.5) && ((Avg_Enable/Avg_Disable) < 2.5))
{
ALGO_Log_0("ExposureValue Metric : PASSED in Ratio Test \n\n");
ALGO_Log_1("ExposureValue Metric : Avg_Enable/Avg_Disable = %f\n\n", (Avg_Enable/Avg_Disable));
}
else
{
ALGO_Log_0("ExposureValue Metric : FAILED in Ratio Test \n\n");
ALGO_Log_1("ExposureValue Metric : Avg_Enable/Avg_Disable = %f\n\n", (Avg_Enable/Avg_Disable));
}
ALGO_Log_2("ExposureValue Metric : Avg_Disable = %.3f, Avg_Enable = %.3f\n\n", Avg_Disable, Avg_Enable);
ALGO_Log_2("ExposureValue Metric : ExposureValue_Disable = %f, ExposureValue_Enable = %f\n\n", paramExposureValue->iExposureValue_Disable, paramExposureValue->iExposureValue_Enable);
if(((Avg_Disable < Avg_Enable) && (paramExposureValue->iExposureValue_Disable < paramExposureValue->iExposureValue_Enable )) ||
((Avg_Disable > Avg_Enable) && (paramExposureValue->iExposureValue_Disable > paramExposureValue->iExposureValue_Enable )))
{
return EErrorNone;
}
else
{
return EErrorNotValidated;
}
}
//break; //set in comment to avoid warnings
// break not needed because of returns above
// when changing above code, break might be required
case EExpoValue_ApertureFNumber:
{
}
break;
case EExpoValue_ApertureAuto:
{
}
break;
case EExpoValue_ShutterSpeedMsec:
{
}
break;
case EExpoValue_ShutterSpeedAuto:
{
}
break;
case EExpoValue_SenstivityAuto:
{
}
break;
default:
{
return EErrorNotSupported;
}
}
ALGO_Log_2("ExposureValue Metric : iExposureValue_Disable %d, iExposureValue_Enable %d\n\n", paramExposureValue->iExposureValue_Disable, paramExposureValue->iExposureValue_Enable);
return EErrorNotValidated;
}