ossimRefPtr<ossimImageData> ossimMaskFilter::executeMaskFilter(ossimRefPtr<ossimImageData> imageSourceData,
ossimRefPtr<ossimImageData> maskSourceData)
{
if(!theTile)
{
theTile = (ossimImageData*)imageSourceData->dup();
if(!theTile->getBuf())
{
theTile->initialize();
}
}
else
{
ossim_uint32 tw = theTile->getWidth();
ossim_uint32 th = theTile->getHeight();
ossim_uint32 dw = imageSourceData->getWidth();
ossim_uint32 dh = imageSourceData->getHeight();
theTile->setWidthHeight(imageSourceData->getWidth(),
imageSourceData->getHeight());
theTile->setOrigin(imageSourceData->getOrigin());
if((tw*th) != (dw*dh))
{
theTile->initialize();
}
theTile->setDataObjectStatus(imageSourceData->getDataObjectStatus());
}
theTile->loadTile(imageSourceData.get());
theTile->setDataObjectStatus(imageSourceData->getDataObjectStatus());
switch(theMaskType)
{
case OSSIM_MASK_TYPE_SELECT:
{
return executeMaskFilterSelect(theTile,
maskSourceData);
}
case OSSIM_MASK_TYPE_INVERT:
{
return executeMaskFilterInvertSelect(theTile,
maskSourceData);
}
case OSSIM_MASK_TYPE_WEIGHTED:
{
return executeMaskFilterWeighted(theTile,
maskSourceData);
}
}
return imageSourceData;
}
template <class T> void ossimTiledElevationDatabase::fillGrid(T /* dummyTemplate */,
ossimRefPtr<ossimImageData> data)
{
if ( data.valid() )
{
// Copy to grid reversing the lines as the ossimDblGrid's origin is the SW corner.
const ossim_float64 NP = data->getNullPix(0);
const T* buf = static_cast<T*>(data->getBuf(0));
if ( buf )
{
const ossimIpt SIZE( data->getWidth(), data->getHeight() );
ossim_int32 bufIdx = (SIZE.y-1) * data->getWidth();
ossim_int32 grdY = 0;
for (ossim_int32 y = SIZE.y-1; y >= 0; --y)
{
for (ossim_int32 x = 0; x < SIZE.x; ++ x)
{
ossim_float64 v = static_cast<ossim_float64>(buf[bufIdx+x]);
m_grid->setNode(x, grdY, (v!=NP?v:ossim::nan()) );
}
bufIdx -= data->getWidth();
++grdY;
}
}
}
}
void ossimFftFilter::runFft(ossimRefPtr<ossimImageData>& input,
ossimRefPtr<ossimImageData>& output)
{
NEWMAT::Matrix* realIn = new NEWMAT::Matrix(input->getHeight(),
input->getWidth());
NEWMAT::Matrix* imgIn = new NEWMAT::Matrix(input->getHeight(),
input->getWidth());
NEWMAT::Matrix* realOut = new NEWMAT::Matrix(input->getHeight(),
input->getWidth());
NEWMAT::Matrix* imgOut = new NEWMAT::Matrix(input->getHeight(),
input->getWidth());
ossim_uint32 bandIdx = 0;
ossim_uint32 w = input->getWidth();
ossim_uint32 h = input->getHeight();
ossim_uint32 x = 0;
ossim_uint32 y = 0;
if(theDirectionType == FORWARD)
{
ossim_uint32 bands = input->getNumberOfBands();
for(bandIdx = 0; bandIdx < bands; ++bandIdx)
{
ossim_float64* bandReal = 0;
ossim_float64* bandImg = 0;
fillMatrixForward((ossim_float64*)input->getBuf(bandIdx),
(ossim_float64)input->getNullPix(bandIdx),
*realIn,
*imgIn);
NEWMAT::FFT2(*realIn, *imgIn, *realOut, *imgOut);
bandReal = (ossim_float64*)output->getBuf(2*bandIdx);
bandImg = (ossim_float64*)output->getBuf(2*bandIdx + 1);
if(bandReal&&bandImg)
{
for(y = 0; y < h; ++y)
{
for(x = 0; x < w; ++x)
{
*bandReal = (ossim_float64)((*realOut)[y][x]);
*bandImg = (ossim_float64)((*imgOut)[y][x]);
++bandReal;
++bandImg;
}
}
}
}
}
else
{
ossim_float64* bandReal = 0;
ossim_uint32 bands = input->getNumberOfBands();
for(bandIdx = 0; bandIdx < bands; bandIdx+=2)
{
bandReal = (ossim_float64*)output->getBuf(bandIdx/2);
if(input->getBuf(bandIdx)&&
input->getBuf(bandIdx+1))
{
fillMatrixInverse((double*)input->getBuf(bandIdx),
(double*)input->getBuf(bandIdx+1),
*realIn,
*imgIn);
NEWMAT::FFT2I(*realIn, *imgIn, *realOut, *imgOut);
for(y = 0; y < h; ++y)
{
for(x = 0; x < w; ++x)
{
*bandReal = (ossim_float64)((*realOut)[y][x]);
// if(*bandReal > 1.0)
// {
// *bandReal = 1.0;
// }
// if(*bandReal < 0.0)
// {
// *bandReal = 0.0;
// }
++bandReal;
}
}
}
}
}
delete realIn;
delete imgIn;
delete realOut;
delete imgOut;
}
ossimRefPtr<ossimImageData> ossimHistogramEqualization::runEqualizationAlgorithm(T, ossimRefPtr<ossimImageData> tile)
{
if(!theAccumulationHistogram ||
!getHistogram())
{
return tile;
}
// for now we will always pull from res 0 information
ossimRefPtr<ossimMultiBandHistogram> histo = getHistogram()->getMultiBandHistogram(0);
if(histo.valid())
{
ossim_uint32 maxBands = ( (histo->getNumberOfBands() >
tile->getNumberOfBands())?
tile->getNumberOfBands():
histo->getNumberOfBands());
long offsetUpperBound = tile->getHeight()*tile->getWidth();
for(ossim_uint32 band = 0; band < maxBands; ++band)
{
ossimRefPtr<ossimHistogram> bandHisto = histo->getHistogram(band);
T* buf = static_cast<T*>(tile->getBuf(band));
double *histoLut = band<theForwardLut.size()?theForwardLut[band]:NULL;
ossim_uint32 actualBand = theBandList[band];
if(bandHisto.valid())
{
if(buf&&histoLut&&(actualBand < histo->getNumberOfBands()))
{
if(theInverseFlag)
{
histoLut = theInverseLut[actualBand];
}
if(histoLut)
{
if(tile->getDataObjectStatus() == OSSIM_FULL)
{
T minPix = (T)tile->getMinPix(actualBand);
T maxPix = (T)tile->getMaxPix(actualBand);
for(long offset = 0; offset < offsetUpperBound; ++offset)
{
ossim_int32 idx = bandHisto->GetIndex(buf[offset]);
if(idx>=0)
{
T value = (T)(histoLut[idx]);
//---
// Assign clamping to min max.
//
// ESH 03/2009 -- Clamping to within min-max fixed
//---
buf[offset] = value < minPix ? minPix :
(value > maxPix ? maxPix : value);
}
}
}
else
{
T minPix = (T)tile->getMinPix(actualBand);
T maxPix = (T)tile->getMaxPix(actualBand);
T nullPix = (T)tile->getNullPix(actualBand);
for(long offset = 0; offset < offsetUpperBound; ++offset)
{
ossim_int32 idx = bandHisto->GetIndex(buf[offset]);
if((buf[offset]!=nullPix)&&(idx>=0))
{
T value = (T)(histoLut[idx]);
//---
// Assign clamping to min max.
//
// ESH 03/2009 -- Clamping to within min-max fixed
//---
buf[offset] = value < minPix ? minPix :
(value > maxPix ? maxPix : value);
}
else
{
buf[offset] = nullPix;
}
}
}
}
}
}
}
tile->validate();
}
return tile;
}
template <class T> void ossimImageToPlaneNormalFilter::computeNormalsTemplate(
T /* inputScalarTypeDummy */,
ossimRefPtr<ossimImageData>& inputTile,
ossimRefPtr<ossimImageData>& outputTile)
{
T inputNull = (T)inputTile->getNullPix(0);
T* inbuf = (T*)inputTile->getBuf();
double* normX = (double*)outputTile->getBuf(0);
double* normY = (double*)outputTile->getBuf(1);
double* normZ = (double*)outputTile->getBuf(2);
ossim_int32 inbuf_width = inputTile->getWidth();
ossim_int32 normbuf_width = outputTile->getWidth();
ossim_int32 normbuf_height = outputTile->getHeight();
ossimColumnVector3d normal;
for (ossim_int32 y=0; y<normbuf_height; y++)
{
// Establish offsets into the image and output normals buffers given row:
ossim_uint32 n = y*normbuf_width;
ossim_uint32 i = (y+1)*inbuf_width + 1;
// Loop to compute the gradient (normal) vector [dh/dx, dh/dy, 1]:
for (ossim_int32 x=0; x<normbuf_width; x++)
{
// Default in case of null inputs is a flat earth:
normal[0] = 0;
normal[1] = 0;
normal[2] = 1.0;
// Compute the x-direction differential:
if (inbuf[i+1] != inputNull)
{
if (inbuf[i-1] != inputNull)
normal[0] = theXScale*theSmoothnessFactor*(inbuf[i+1] - inbuf[i-1]) / 2.0;
else if (inbuf[i] != inputNull)
normal[0] = theXScale*theSmoothnessFactor*(inbuf[i+1] - inbuf[i]);
}
else if ((inbuf[i] != inputNull) && (inbuf[i-1] != inputNull))
{
normal[0] = theXScale*theSmoothnessFactor*(inbuf[i] - inbuf[i-1]);
}
// Compute the y-direction differential:
if (inbuf[i+inbuf_width] != inputNull)
{
if (inbuf[i-inbuf_width] != inputNull)
normal[1] = theYScale*theSmoothnessFactor*(inbuf[i+inbuf_width] - inbuf[i-inbuf_width]) / 2.0;
else if (inbuf[i] != inputNull)
normal[1] = theYScale*theSmoothnessFactor*(inbuf[i+inbuf_width] - inbuf[i]);
}
else if ((inbuf[i] != inputNull) && (inbuf[i-inbuf_width] != inputNull))
{
normal[1] = theYScale*theSmoothnessFactor*(inbuf[i] - inbuf[i-inbuf_width]);
}
// Stuff the normalized gradient vector into the output buffers:
normal = normal.unit();
normX[n] = normal[0];
normY[n] = normal[1];
normZ[n] = normal[2];
++n;
++i;
}
}
}
template<class T> void ossimCFARFilter::convolveFull(
T,
ossimRefPtr<ossimImageData> inputData,
ossimRefPtr<ossimImageData> outputData)
{
// let's set up some temporary variables so we don't
// have to call the functions in loops. Iknow that compilers
// typically optimize this out but if we are in debug mode
// with no optimization it will still run fast
//
double sum = 0.0,sqrsum = 0.0,variance = 0.0;
ossim_int32 inputW = static_cast<ossim_int32>(inputData->getWidth());
ossim_uint32 outputW = outputData->getWidth();
ossim_uint32 outputH = outputData->getHeight();
ossim_uint32 numberOfBands = inputData->getNumberOfBands();
ossimIpt outputOrigin = outputData->getOrigin();
ossimIpt inputOrigin = inputData->getOrigin();
ossim_int32 startInputOffset = std::abs(outputOrigin.y - inputOrigin.y)*
inputW + std::abs(outputOrigin.x - inputOrigin.x);
ossim_int32 ulKernelStart = -(2*inputW) - 2;
ossim_int32 ul1KernelStart = -inputW - 1;
ossim_int32 leftKernelStart = -2;
ossim_int32 ll1KernelStart = inputW - 1;
ossim_int32 llKernelStart = (2*inputW) - 2;
//populate kernel offset indices
ossim_int32 KernelStart[BOXSIZE];
T* KernelStartBuf[BOXSIZE];
for(ossim_uint16 i=0;i<BOXSIZE;i++)
{
int offset = i-(BOXSIZE/2);
KernelStart[i] = offset*inputW + offset;
KernelStartBuf[i] = NULL;
}
T* ulKernelStartBuf = NULL;
T* ul1KernelStartBuf = NULL;
T* leftKernelStartBuf = NULL;
T* ll1KernelStartBuf = NULL;
T* llKernelStartBuf = NULL;
for(ossim_uint32 band = 0; band < numberOfBands; ++band)
{
T* inputBuf = static_cast<T*>(inputData->getBuf(band))+startInputOffset;
T* outputBuf = static_cast<T*>(outputData->getBuf(band));
T maxPix = static_cast<T>(getMaxPixelValue(band));
T minPix = static_cast<T>(getMinPixelValue(band));
if(inputBuf&&outputBuf)
{
for(ossim_uint32 row = 0; row < outputW; ++row)
{
ossim_int32 rowOffset = inputW*row;
ulKernelStartBuf = inputBuf + (rowOffset + ulKernelStart);
ul1KernelStartBuf = inputBuf + (rowOffset + ul1KernelStart);
leftKernelStartBuf = inputBuf + (rowOffset + leftKernelStart);
ll1KernelStartBuf = inputBuf + (rowOffset + ll1KernelStart);
llKernelStartBuf = inputBuf + (rowOffset + llKernelStart);
for(ossim_uint16 i=0;i<BOXSIZE;i++)
{
KernelStartBuf[i] = inputBuf + (rowOffset + KernelStart[i]);
}
for(ossim_uint32 col = 0; col < outputH; ++col)
{
//calculate mean
sum = 0.0;
sqrsum = 0.0;
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[0][r]*(double)ulKernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[1][r]*(double)ul1KernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[2][r]*(double)leftKernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[3][r]*(double)ll1KernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[4][r]*(double)llKernelStartBuf[r];
/*
for(ossim_uint16 i=0;i<BOXSIZE;i++)
{
for(ossim_uint32 r=0; r<5; ++r)
{
sum += theKernel[i][r]*(double)KernelStartBuf[i][r];
sqrsum += theKernel[i][r]*(double)KernelStartBuf[i][r]
*(double)KernelStartBuf[i][r];
}
}
*/
//calculate mean of squares
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[0][r]*(double)ulKernelStartBuf[r]
*(double)ulKernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[1][r]*(double)ul1KernelStartBuf[r]
*(double)ul1KernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[2][r]*(double)leftKernelStartBuf[r]
*(double)leftKernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[3][r]*(double)ll1KernelStartBuf[r]
*(double)ll1KernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[4][r]*(double)llKernelStartBuf[r]
*(double)llKernelStartBuf[r];
//calculate variance
variance = sqrsum - (sum*sum);
//calculate k-value
sum = ((double)leftKernelStartBuf[2] - sum)/sqrt(variance);
//Threshold k-value
if(sum < theThreshold)
sum = minPix;
else
sum = maxPix;
/*
sum = theKernel[0][0]*(double)ulKernelStartBuf[0] +
theKernel[0][1]*(double)ulKernelStartBuf[1] +
theKernel[0][2]*(double)ulKernelStartBuf[2] +
theKernel[1][0]*(double)leftKernelStartBuf[0] +
theKernel[1][1]*(double)leftKernelStartBuf[1] +
theKernel[1][2]*(double)leftKernelStartBuf[2] +
theKernel[2][0]*(double)llKernelStartBuf[0] +
theKernel[2][1]*(double)llKernelStartBuf[1] +
theKernel[2][2]*(double)llKernelStartBuf[2];
*/
if(sum > maxPix)
{
*outputBuf = maxPix;
}
else if(sum < minPix)
{
*outputBuf = minPix;
}
else
{
*outputBuf = static_cast<T>(sum);
}
//
// Need to implement the convolution here.
//
++ulKernelStartBuf;
++ul1KernelStartBuf;
++leftKernelStartBuf;
++ll1KernelStartBuf;
++llKernelStartBuf;
++outputBuf;
}
}
}
}
}
//*****************************************************************************
// METHOD: ossimHsvGridRemapEngine::remapTile
//
//*****************************************************************************
void ossimHsvGridRemapEngine::remapTile(const ossimDpt& origin,
ossimGridRemapSource* remapper,
ossimRefPtr<ossimImageData>& tile)
{
static const char MODULE[] = "ossimHsvGridRemapEngine::remapTile";
if (traceExec()) CLOG << "entering..." << endl;
//***
// Fetch tile size and NULL pixel value:
//***
int width = tile->getWidth();
int height = tile->getHeight();
int offset = 0;
void* red_buf = tile->getBuf(0);
void* grn_buf = tile->getBuf(1);
void* blu_buf = tile->getBuf(2);
ossimDblGrid& gridH = *(remapper->getGrid(0));
ossimDblGrid& gridS = *(remapper->getGrid(1));
ossimDblGrid& gridV = *(remapper->getGrid(2));
//---
// Remap according to pixel type:
//---
switch(tile->getScalarType())
{
case OSSIM_UINT8:
{
for (double line=origin.line; line<origin.line+height; line+=1.0)
{
for (double samp=origin.samp; samp<origin.samp+width; samp+=1.0)
{
//---
// Fetch pixel from the input tile band buffers and convert
// to HSV:
//---
ossimRgbVector rgb_pixel (((ossim_uint8*)red_buf)[offset],
((ossim_uint8*)grn_buf)[offset],
((ossim_uint8*)blu_buf)[offset]);
ossimHsvVector hsv_pixel (rgb_pixel);
//---
// Remap pixel HSV with spatially variant bias value:
//---
hsv_pixel.setH(hsv_pixel.getH() + gridH(samp,line));
hsv_pixel.setS(hsv_pixel.getS() + gridS(samp,line));
hsv_pixel.setV(hsv_pixel.getV() + gridV(samp,line));
//---
// Convert back to RGB and write to the tile:
//---
rgb_pixel = hsv_pixel; // auto-clamped
((ossim_uint8*)red_buf)[offset] = rgb_pixel.getR();
((ossim_uint8*)grn_buf)[offset] = rgb_pixel.getG();
((ossim_uint8*)blu_buf)[offset] = rgb_pixel.getB();
offset++;
}
}
break;
}
case OSSIM_USHORT11:
break;
case OSSIM_UINT16:
break;
case OSSIM_SINT16:
break;
case OSSIM_FLOAT64:
break;
case OSSIM_NORMALIZED_DOUBLE:
break;
case OSSIM_FLOAT32:
break;
case OSSIM_NORMALIZED_FLOAT:
break;
case OSSIM_SCALAR_UNKNOWN:
default:
break;
} // end switch statement
if (traceExec()) CLOG << "returning..." << endl;
return;
};
bool ossimCodecFactory::encodeJpeg( ossim_uint32 quality,
const ossimRefPtr<ossimImageData>& in,
std::vector<ossim_uint8>& out ) const
{
bool result = false;
if ( in.valid() && (in->getDataObjectStatus() != OSSIM_NULL) )
{
if ( in->getScalarType() == OSSIM_UINT8 )
{
// Open a memory stream up to put the jpeg image in memory:
std::stringstream jpegStreamBuf;
//---
// Initialize JPEG compression library:
// NOTE: JDIMENSION is an "unsigned int"
//---
struct jpeg_compress_struct cinfo;
struct jpeg_error_mgr jerr;
cinfo.err = jpeg_std_error( &jerr );
jpeg_create_compress(&cinfo);
// Define a custom stream destination manager for jpeglib to write compressed block:
jpeg_cpp_stream_dest(&cinfo, jpegStreamBuf);
/* Setting the parameters of the output file here */
cinfo.image_width = in->getWidth();
cinfo.image_height = in->getHeight();
// Bands must be one or three for this writer.
const ossim_uint32 INPUT_BANDS = in->getNumberOfBands();
if ( (INPUT_BANDS == 1) || (INPUT_BANDS == 3) )
{
cinfo.input_components = INPUT_BANDS;
}
else
{
if ( INPUT_BANDS < 3 )
{
cinfo.input_components = 1; // Use first band.
}
else
{
cinfo.input_components = 3; // Use the first 3 bands.
}
}
// colorspace of input image
if ( cinfo.input_components == 3)
{
cinfo.in_color_space = JCS_RGB;
}
else
{
cinfo.in_color_space = JCS_GRAYSCALE;
}
// Default compression parameters, we shouldn't be worried about these.
jpeg_set_defaults( &cinfo );
jpeg_set_quality(&cinfo, quality, TRUE); //limit to baseline-JPEG values
// Now do the compression...
jpeg_start_compress( &cinfo, TRUE );
// Line buffer:
ossim_uint32 buf_size = cinfo.input_components*cinfo.image_width;
std::vector<ossim_uint8> buf(buf_size);
// Compress the tile on line at a time:
JSAMPROW row_pointer[1]; // Pointer to a single row.
row_pointer[0] = (JSAMPLE*)&buf.front();
// Get pointers to the input data:
std::vector<const ossim_uint8*> inBuf(cinfo.input_components);
for ( ossim_int32 band = 0; band < cinfo.input_components; ++band )
{
inBuf[band] = in->getUcharBuf(band);
}
ossim_uint32 inIdx = 0;
for (ossim_uint32 line=0; line< cinfo.image_height; ++line)
{
// Convert from band sequential to band interleaved by pixel.
ossim_uint32 outIdx = 0;
for ( ossim_uint32 p = 0; p < cinfo.image_width; ++p )
{
for ( ossim_int32 band = 0; band < cinfo.input_components; ++band )
{
buf[outIdx++] = inBuf[band][inIdx];
}
++inIdx;
}
// Write it...
jpeg_write_scanlines( &cinfo, row_pointer, 1 );
}
// Similar to read file, clean up after we're done compressing.
jpeg_finish_compress( &cinfo );
jpeg_destroy_compress( &cinfo );
// Copy the memory stream to output vector.
out.resize(jpegStreamBuf.str().size());
jpegStreamBuf.seekg(0, std::ios_base::beg);
jpegStreamBuf.read((char*)&out.front(), jpegStreamBuf.str().size());
result = true;
}
else // Scalar type check...
{
ossimNotify(ossimNotifyLevel_WARN)
<< "ossimCodecFactory::encodeJpeg ERROR:"
<< "\nPassing non-eight bit data to eight bit encoder!" << std::endl;
}
} // Matches: if ( in.valid() ... )
return result;
}