optimize palette L*A*B* conversion, revert HyAb
HyAb makes the image look worse for higher contrast images. We can look into adding quality control knobs in the future.
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@ -4,7 +4,7 @@ use serde::{Deserialize, Serialize};
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use tracing::instrument;
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use tracing::instrument;
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use image::Rgb as imgRgb;
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use image::Rgb as imgRgb;
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use palette::color_difference::Ciede2000;
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use palette::color_difference::{Ciede2000, HyAb};
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use palette::{cast::FromComponents, IntoColor, Lab, Srgb};
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use palette::{cast::FromComponents, IntoColor, Lab, Srgb};
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/// Palette used on the display; pixels can be one of these colors.
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/// Palette used on the display; pixels can be one of these colors.
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@ -133,13 +133,12 @@ pub trait Ditherer {
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/// Find the closest approximate palette color to the given sRGB value.
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/// Find the closest approximate palette color to the given sRGB value.
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/// This uses euclidian distance in linear space.
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/// This uses euclidian distance in linear space.
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fn nearest_neighbor(input_color: Lab, palette: &[Srgb]) -> (u8, Lab) {
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fn nearest_neighbor(input_color: Lab, palette: &[Lab]) -> (u8, Lab) {
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let (nearest, _, color_diff) = palette
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let (nearest, _, color_diff) = palette
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.iter()
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.iter()
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.enumerate()
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.enumerate()
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.map(|(idx, p_color)| {
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.map(|(idx, p_color)| {
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let c: Lab = Lab::from_color(*p_color);
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(idx, input_color.difference(*p_color), input_color - *p_color)
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(idx, input_color.difference(c), input_color - c)
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})
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})
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.min_by(|(_, a, _), (_, b, _)| a.total_cmp(b))
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.min_by(|(_, a, _), (_, b, _)| a.total_cmp(b))
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.expect("Should always find a color");
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.expect("Should always find a color");
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@ -150,12 +149,13 @@ pub struct NearestNeighbor();
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impl Ditherer for NearestNeighbor {
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impl Ditherer for NearestNeighbor {
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fn dither(&mut self, img: &RgbImage, output: &mut DitheredImage) {
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fn dither(&mut self, img: &RgbImage, output: &mut DitheredImage) {
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// sRGB view into the given image. zero copy!
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// sRGB view into the given image. zero copy!
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let srgb = <&[Srgb<u8>]>::from_components(&**img);
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let srgb = <&[Srgb<u8>]>::from_components(&**img);
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let lab_palette: Vec<Lab> = output.palette.iter().map(|c| Lab::from_color(*c)).collect();
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for (idx, pix) in output.buf.iter_mut().enumerate() {
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for (idx, pix) in output.buf.iter_mut().enumerate() {
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let (n, _) = nearest_neighbor(srgb[idx].into_format().into_color(), &output.palette);
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let (n, _) = nearest_neighbor(srgb[idx].into_format().into_color(), &lab_palette);
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*pix = n;
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*pix = n;
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}
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}
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}
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}
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@ -267,13 +267,14 @@ impl<'a> Ditherer for ErrorDiffusion<'a> {
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for pix in srgb {
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for pix in srgb {
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temp_img.push(pix.into_format().into_color());
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temp_img.push(pix.into_format().into_color());
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}
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}
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let lab_palette: Vec<Lab> = output.palette.iter().map(|c| Lab::from_color(*c)).collect();
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// TODO: rework this to make more sense.
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// TODO: rework this to make more sense.
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for y in 0..ysize {
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for y in 0..ysize {
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for x in 0..xsize {
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for x in 0..xsize {
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let index = coord_to_idx(x, y, xsize);
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let index = coord_to_idx(x, y, xsize);
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let curr_pix = temp_img[index];
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let curr_pix = temp_img[index];
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let (nearest, err) = nearest_neighbor(curr_pix, &output.palette);
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let (nearest, err) = nearest_neighbor(curr_pix, &lab_palette);
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// set the color in the output buffer.
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// set the color in the output buffer.
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*output
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*output
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.buf
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.buf
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