public static ImageMatrices GetImageMatricesFromQuantizedErrorMatrix(int[,] quantizedErrors, NearLosslessOptions nearLosslessOptions)
{
var predictor = NearLosslessPredictorSelector.GetPredictor(nearLosslessOptions.PredictorType);
var imageMatrices = new ImageMatrices(quantizedErrors.GetLength(0), quantizedErrors.GetLength(1));
CopyMatrix(quantizedErrors, imageMatrices.QuantizedErrors);
HandleFirstPixel(imageMatrices, nearLosslessOptions);
HandleFirstColumn(imageMatrices, nearLosslessOptions, predictor);
HandleFirstRow(imageMatrices, nearLosslessOptions, predictor);
for (var row = 1; row < imageMatrices.Width; row++)
{
for (var column = 1; column < imageMatrices.Height; column++)
{
var a = imageMatrices.Decoded[row - 1, column];
var b = imageMatrices.Decoded[row, column - 1];
var c = imageMatrices.Decoded[row - 1, column - 1];
var prediction = predictor.PredictValue(nearLosslessOptions.PredictionLowerLimit, nearLosslessOptions.PredictionUpperLimit, a, b, c);
HandlePrediction(imageMatrices, nearLosslessOptions, row, column, prediction);
}
}
return(imageMatrices);
}
public static void SetImageMatrices(ImageMatrices imageMatrices, NearLosslessOptions nearLosslessOptions)
{
var predictor = NearLosslessPredictorSelector.GetPredictor(nearLosslessOptions.PredictorType);
HandleFirstPixel(imageMatrices, nearLosslessOptions);
HandleFirstColumn(imageMatrices, nearLosslessOptions, predictor);
HandleFirstRow(imageMatrices, nearLosslessOptions, predictor);
for (var row = 1; row < imageMatrices.Width; row++)
{
for (var column = 1; column < imageMatrices.Height; column++)
{
var a = imageMatrices.Decoded[row - 1, column];
var b = imageMatrices.Decoded[row, column - 1];
var c = imageMatrices.Decoded[row - 1, column - 1];
var prediction = predictor.PredictValue(nearLosslessOptions.PredictionLowerLimit, nearLosslessOptions.PredictionUpperLimit, a, b, c);
HandlePrediction(imageMatrices, nearLosslessOptions, row, column, prediction);
}
}
}