/// <inheritdoc/>
protected override bool DoTransferColor(Tensor <float> source, Tensor <float> target, Tensor <float> output)
{
var(width, height) = (target.Width(), target.Height());
var fY = 1f / height;
var fX = 1f / width;
Parallel.For(0, height, row =>
{
var sampler = new Sampler <float>(source);
var targetData = ((DenseTensor <float>)target).Buffer.Span;
var outputData = ((DenseTensor <float>)output).Buffer.Span;
var k = row * width * 3;
var yPos = fY * row;
for (int col = 0; col < width; ++col, k += 3)
{
var(r, g, b) = sampler[fX * col, yPos];
var(_, u, v) = PixelOps.RgbToYuv(r, g, b);
var y = PixelOps.Luma(targetData, k);
PixelOps.YuvToRgb(y, u, v, outputData, k);
}
});
return(true);
}
/// <inheritdoc/>
protected sealed override bool DoTransferColor(Tensor <float> source, Tensor <float> target, Tensor <float> output)
{
var sourceMean = PixelOps.Mean(source);
var targetMean = PixelOps.Mean(target);
var sourceSigma = PixelOps.Covariance(source, sourceMean);
var targetSigma = PixelOps.Covariance(target, targetMean);
if (GetCoefficients(sourceSigma, targetSigma, out Matrix3 A))
{
var b = Vector3.Zero;
_ = sourceMean.Sub(A._ * targetMean, ref b);
PixelOps.LinearTransfer(A, b, target, output);
return(true);
}
return(false);
}