protected override void ApplyFilter()
{
// get source image size
int width = _sourceData[0].GetLength(0),
height = _sourceData[0].GetLength(1);
int channels = _sourceData.Length;
// Estimate a good filter size for the gaussian.
// Note that gaussian isn't an ideal bandpass filter
// so this is an experimentally determined quantity
double std = (width / _newWidth) * 0.50;
for (int i = 0; i < channels; i++)
{
GrayImage channel = new GrayImage(_sourceData[i]);
channel = Convolution.Instance.GaussianConv(channel, std);
_sourceData[i] = channel.ToByteArray2D();
}
// number of pixels to shift in the original image
double xStep = (double)width / _newWidth,
yStep = (double)height / _newHeight;
NNResize resizer = new NNResize();
_destinationData = resizer.Apply(_sourceData, _newWidth, _newHeight);
}
protected override void ApplyFilter()
{
// get source image size
int width = _sourceData[0].GetLength(0),
height = _sourceData[0].GetLength(1);
int channels = _sourceData.Length;
// Estimate a good filter size for the gaussian.
// Note that gaussian isn't an ideal bandpass filter
// so this is an experimentally determined quantity
double std = (width / _newWidth) * 0.50;
for(int i = 0; i < channels; i++)
{
GrayImage channel = new GrayImage(_sourceData[i]);
channel = Convolution.Instance.GaussianConv(channel, std);
_sourceData[i] = channel.ToByteArray2D();
}
// number of pixels to shift in the original image
double xStep = (double)width / _newWidth,
yStep = (double)height / _newHeight;
NNResize resizer = new NNResize();
_destinationData = resizer.Apply(_sourceData, _newWidth, _newHeight);
}
public Image Resize(double scale, ResamplingFilters technique)
{
FluxJpeg.Core.Filtering.Filter filter;
int newHeight = (int) (scale * this._input.Height);
int newWidth = (int) (scale * this._input.Width);
switch (technique)
{
case ResamplingFilters.NearestNeighbor:
filter = new NNResize();
break;
case ResamplingFilters.LowpassAntiAlias:
filter = new LowpassResize();
break;
default:
throw new NotSupportedException();
}
return new Image(this._input.ColorModel, filter.Apply(this._input.Raster, newWidth, newHeight));
}
public Image Resize(double scale, ResamplingFilters technique)
{
int height = (int)(scale * _input.Height);
int width = (int)(scale * _input.Width);
Filter resizeFilter;
switch (technique)
{
case ResamplingFilters.NearestNeighbor:
resizeFilter = new NNResize();
break;
case ResamplingFilters.LowpassAntiAlias:
resizeFilter = new LowpassResize();
break;
default:
throw new NotSupportedException();
}
return new Image(_input.ColorModel, resizeFilter.Apply(_input.Raster, width, height));
}
private Filter GetResizeFilter(ResamplingFilters technique)
{
Filter resizeFilter;
switch (technique)
{
case ResamplingFilters.NearestNeighbor:
resizeFilter = new NNResize();
break;
case ResamplingFilters.LowpassAntiAlias:
resizeFilter = new LowpassResize();
break;
default:
throw new NotSupportedException();
}
resizeFilter.ProgressChanged += ResizeProgressChanged;
return resizeFilter;
}
