/// <summary>
/// Filter Implementation
/// </summary>
protected override IImageAdapter ProcessFilter(IImageAdapter source)
{
if (source == null)
{
throw new ArgumentNullException("source", "The value passed in cannot be null");
}
if (Radius == 0)
{
//
return((IImageAdapter)source.Clone());
}
int width = source.Width;
int height = source.Height;
ImageAdapter retVal = null;
if (Expand)
{
retVal = new ImageAdapter((int)(width + (Radius + 0.5) * 2), (int)(height + (Radius + 0.5) * 2));
}
else
{
retVal = new ImageAdapter(width, height);
}
InitializeKernel();
GaussianFilter gaussianFilter = new GaussianFilter();
gaussianFilter.Kernel = _kernel;
return(gaussianFilter.Process(source));
}
/// <summary>
/// filter implementation
/// </summary>
protected override IImageAdapter ProcessFilter(IImageAdapter source)
{
// Check Params
if (source == null)
{
throw new ArgumentNullException("source", "Argument cannot be null");
}
if (Width == 0)
{
Width = source.Width;
}
if (Height == 0)
{
Height = source.Height;
}
if ((Height < source.Height || Width < source.Width) && (LowPassFilterOnSubSampling == true))
{
GaussianFilter gf = new GaussianFilter();
int ratio = (int)Math.Max(source.Width / Width, source.Height / Height);
if (ratio < 1)
{
ratio = 2;
}
gf.Length = ratio;
source = gf.Process(source);
Console.WriteLine("<<Proceed with GF subsampling>>");
}
/*
* //
*
*
*
*/
Image2DTransforms transform = new Image2DTransforms(source);
transform.Transform(Matrix);
return(transform.ImageTransformed);
}
