bool RescaleInstance::ExecuteOn( View& view )
{
AutoViewLock lock( view );
ImageVariant image = view.Image();
if ( image.IsComplexSample() )
return false;
Console().EnableAbort();
StandardStatus status;
image.SetStatusCallback( &status );
switch ( mode )
{
default:
case RescalingMode::RGBK:
image->SelectNominalChannels();
image.Rescale();
break;
case RescalingMode::RGBK_Individual:
for ( int c = 0; c < image->NumberOfNominalChannels(); ++c )
{
image->SelectChannel( c );
image.Rescale();
}
break;
case RescalingMode::CIEL:
{
ImageVariant L;
image.GetLightness( L );
L.Rescale();
image.SetLightness( L );
}
break;
case RescalingMode::CIEY:
{
ImageVariant Y;
image.GetLuminance( Y );
Y.Rescale();
image.SetLuminance( Y );
}
break;
}
return true;
}
bool LarsonSekaninaInstance::ExecuteOn( View& view )
{
AutoViewLock lock( view );
ImageVariant image = view.Image();
if ( image.IsComplexSample() )
return false;
StandardStatus status;
image.SetStatusCallback( &status );
Console().EnableAbort();
ImageVariant sharpImg;
sharpImg.CreateFloatImage( (image.BitsPerSample() > 32) ? image.BitsPerSample() : 32 );
sharpImg.AllocateImage( image->Width(), image->Height(), 1, ColorSpace::Gray );
if ( useLuminance && image->IsColor() )
{
ImageVariant L;
image.GetLightness( L );
Convolve( L, sharpImg, interpolation, radiusDiff, angleDiff, center, 0 );
ApplyFilter( L, sharpImg, amount, threshold, deringing, rangeLow, rangeHigh, false, 0, highPass );
image.SetLightness( L );
}
else
{
for ( int c = 0, n = image->NumberOfNominalChannels(); c < n; ++c )
{
image->SelectChannel( c );
if ( n > 1 )
Console().WriteLn( "<end><cbr>Processing channel #" + String( c ) );
Convolve( image, sharpImg, interpolation, radiusDiff, angleDiff, center, c );
ApplyFilter( image, sharpImg, amount, threshold, deringing, rangeLow, rangeHigh, disableExtension, c, highPass );
}
}
return true;
}
