//
// Copyright (c) James Jackson-South and contributors.
// Licensed under the Apache License, Version 2.0.
//
namespace ImageProcessorCore.Quantizers
{
using System.Collections.Generic;
using System.Threading.Tasks;
///
/// Encapsulates methods to calculate the color palette of an image.
///
/// The pixel format.
/// The packed format. uint, long, float.
public abstract class Quantizer : IQuantizer
where TColor : IPackedVector
where TPacked : struct
{
///
/// Flag used to indicate whether a single pass or two passes are needed for quantization.
///
private readonly bool singlePass;
///
/// Initializes a new instance of the class.
///
///
/// If true, the quantization only needs to loop through the source pixels once
///
///
/// If you construct this class with a true value for singlePass, then the code will, when quantizing your image,
/// only call the 'QuantizeImage' function. If two passes are required, the code will call 'InitialQuantizeImage'
/// and then 'QuantizeImage'.
///
protected Quantizer(bool singlePass)
{
this.singlePass = singlePass;
}
///
/// Gets or sets the transparency index.
///
public int TransparentIndex { get; protected set; } = -1;
///
public byte Threshold { get; set; }
///
public virtual QuantizedImage Quantize(ImageBase image, int maxColors)
{
Guard.NotNull(image, nameof(image));
// Get the size of the source image
int height = image.Height;
int width = image.Width;
byte[] quantizedPixels = new byte[width * height];
List palette;
using (PixelAccessor pixels = image.Lock())
{
// Call the FirstPass function if not a single pass algorithm.
// For something like an Octree quantizer, this will run through
// all image pixels, build a data structure, and create a palette.
if (!this.singlePass)
{
this.FirstPass(pixels, width, height);
}
// Get the palette
palette = this.GetPalette();
this.SecondPass(pixels, quantizedPixels, width, height);
}
return new QuantizedImage(width, height, palette.ToArray(), quantizedPixels, this.TransparentIndex);
}
///
/// Execute the first pass through the pixels in the image
///
/// The source data
/// The width in pixels of the image.
/// The height in pixels of the image.
protected virtual void FirstPass(PixelAccessor source, int width, int height)
{
// Loop through each row
for (int y = 0; y < height; y++)
{
// And loop through each column
for (int x = 0; x < width; x++)
{
// Now I have the pixel, call the FirstPassQuantize function...
this.InitialQuantizePixel(source[x, y]);
}
}
}
///
/// Execute a second pass through the bitmap
///
/// The source image.
/// The output pixel array
/// The width in pixels of the image
/// The height in pixels of the image
protected virtual void SecondPass(PixelAccessor source, byte[] output, int width, int height)
{
Parallel.For(
0,
source.Height,
Bootstrapper.Instance.ParallelOptions,
y =>
{
for (int x = 0; x < source.Width; x++)
{
TColor sourcePixel = source[x, y];
output[(y * source.Width) + x] = this.QuantizePixel(sourcePixel);
}
});
}
///
/// Override this to process the pixel in the first pass of the algorithm
///
/// The pixel to quantize
///
/// This function need only be overridden if your quantize algorithm needs two passes,
/// such as an Octree quantizer.
///
protected virtual void InitialQuantizePixel(TColor pixel)
{
}
///
/// Override this to process the pixel in the second pass of the algorithm
///
/// The pixel to quantize
///
/// The quantized value
///
protected abstract byte QuantizePixel(TColor pixel);
///
/// Retrieve the palette for the quantized image
///
///
/// The new color palette
///
protected abstract List GetPalette();
}
}