Sindbad~EG File Manager
use std::convert::TryFrom;
use std::io::{self, Cursor, Read};
use std::marker::PhantomData;
use std::mem;
use crate::color::ColorType;
use crate::error::{
DecodingError, ImageError, ImageResult, UnsupportedError, UnsupportedErrorKind,
};
use crate::image::{ImageDecoder, ImageFormat};
/// JPEG decoder
pub struct JpegDecoder<R> {
decoder: jpeg::Decoder<R>,
metadata: jpeg::ImageInfo,
}
impl<R: Read> JpegDecoder<R> {
/// Create a new decoder that decodes from the stream ```r```
pub fn new(r: R) -> ImageResult<JpegDecoder<R>> {
let mut decoder = jpeg::Decoder::new(r);
decoder.read_info().map_err(ImageError::from_jpeg)?;
let mut metadata = decoder.info().ok_or_else(|| {
ImageError::Decoding(DecodingError::from_format_hint(ImageFormat::Jpeg.into()))
})?;
// We convert CMYK data to RGB before returning it to the user.
if metadata.pixel_format == jpeg::PixelFormat::CMYK32 {
metadata.pixel_format = jpeg::PixelFormat::RGB24;
}
Ok(JpegDecoder { decoder, metadata })
}
/// Configure the decoder to scale the image during decoding.
///
/// This efficiently scales the image by the smallest supported
/// scale factor that produces an image larger than or equal to
/// the requested size in at least one axis. The currently
/// implemented scale factors are 1/8, 1/4, 1/2 and 1.
///
/// To generate a thumbnail of an exact size, pass the desired
/// size and then scale to the final size using a traditional
/// resampling algorithm.
///
/// The size of the image to be loaded, with the scale factor
/// applied, is returned.
pub fn scale(
&mut self,
requested_width: u16,
requested_height: u16,
) -> ImageResult<(u16, u16)> {
let result = self
.decoder
.scale(requested_width, requested_height)
.map_err(ImageError::from_jpeg)?;
self.metadata.width = result.0;
self.metadata.height = result.1;
Ok(result)
}
}
/// Wrapper struct around a `Cursor<Vec<u8>>`
pub struct JpegReader<R>(Cursor<Vec<u8>>, PhantomData<R>);
impl<R> Read for JpegReader<R> {
fn read(&mut self, buf: &mut [u8]) -> io::Result<usize> {
self.0.read(buf)
}
fn read_to_end(&mut self, buf: &mut Vec<u8>) -> io::Result<usize> {
if self.0.position() == 0 && buf.is_empty() {
mem::swap(buf, self.0.get_mut());
Ok(buf.len())
} else {
self.0.read_to_end(buf)
}
}
}
impl<'a, R: 'a + Read> ImageDecoder<'a> for JpegDecoder<R> {
type Reader = JpegReader<R>;
fn dimensions(&self) -> (u32, u32) {
(
u32::from(self.metadata.width),
u32::from(self.metadata.height),
)
}
fn color_type(&self) -> ColorType {
ColorType::from_jpeg(self.metadata.pixel_format)
}
fn into_reader(mut self) -> ImageResult<Self::Reader> {
let mut data = self.decoder.decode().map_err(ImageError::from_jpeg)?;
data = match self.decoder.info().unwrap().pixel_format {
jpeg::PixelFormat::CMYK32 => cmyk_to_rgb(&data),
_ => data,
};
Ok(JpegReader(Cursor::new(data), PhantomData))
}
fn read_image(mut self, buf: &mut [u8]) -> ImageResult<()> {
assert_eq!(u64::try_from(buf.len()), Ok(self.total_bytes()));
let mut data = self.decoder.decode().map_err(ImageError::from_jpeg)?;
data = match self.decoder.info().unwrap().pixel_format {
jpeg::PixelFormat::CMYK32 => cmyk_to_rgb(&data),
_ => data,
};
buf.copy_from_slice(&data);
Ok(())
}
}
fn cmyk_to_rgb(input: &[u8]) -> Vec<u8> {
let count = input.len() / 4;
let mut output = vec![0; 3 * count];
let in_pixels = input[..4 * count].chunks_exact(4);
let out_pixels = output[..3 * count].chunks_exact_mut(3);
for (pixel, outp) in in_pixels.zip(out_pixels) {
let c = 255 - u16::from(pixel[0]);
let m = 255 - u16::from(pixel[1]);
let y = 255 - u16::from(pixel[2]);
let k = 255 - u16::from(pixel[3]);
// CMY -> RGB
let r = (k * c) / 255;
let g = (k * m) / 255;
let b = (k * y) / 255;
outp[0] = r as u8;
outp[1] = g as u8;
outp[2] = b as u8;
}
output
}
impl ColorType {
fn from_jpeg(pixel_format: jpeg::PixelFormat) -> ColorType {
use jpeg::PixelFormat::*;
match pixel_format {
L8 => ColorType::L8,
L16 => ColorType::L16,
RGB24 => ColorType::Rgb8,
CMYK32 => panic!(),
}
}
}
impl ImageError {
fn from_jpeg(err: jpeg::Error) -> ImageError {
use jpeg::Error::*;
match err {
err @ Format(_) => {
ImageError::Decoding(DecodingError::new(ImageFormat::Jpeg.into(), err))
}
Unsupported(desc) => ImageError::Unsupported(UnsupportedError::from_format_and_kind(
ImageFormat::Jpeg.into(),
UnsupportedErrorKind::GenericFeature(format!("{:?}", desc)),
)),
Io(err) => ImageError::IoError(err),
Internal(err) => {
ImageError::Decoding(DecodingError::new(ImageFormat::Jpeg.into(), err))
}
}
}
}
#[cfg(test)]
mod tests {
#[cfg(feature = "benchmarks")]
extern crate test;
use super::cmyk_to_rgb;
#[cfg(feature = "benchmarks")]
use test::Bencher;
#[cfg(feature = "benchmarks")]
const W: usize = 256;
#[cfg(feature = "benchmarks")]
const H: usize = 256;
#[test]
fn cmyk_to_rgb_correct() {
for c in 0..=255 {
for k in 0..=255 {
// Based on R = 255 * (1-C/255) * (1-K/255)
let r = (255.0 - f32::from(c)) * (255.0 - f32::from(k)) / 255.0;
let r_u8 = r as u8;
let convert_r = cmyk_to_rgb(&[c, 0, 0, k])[0];
let convert_g = cmyk_to_rgb(&[0, c, 0, k])[1];
let convert_b = cmyk_to_rgb(&[0, 0, c, k])[2];
assert_eq!(
convert_r, r_u8,
"c = {}, k = {}, cymk_to_rgb[0] = {}, should be {}",
c, k, convert_r, r_u8
);
assert_eq!(
convert_g, r_u8,
"m = {}, k = {}, cymk_to_rgb[1] = {}, should be {}",
c, k, convert_g, r_u8
);
assert_eq!(
convert_b, r_u8,
"y = {}, k = {}, cymk_to_rgb[2] = {}, should be {}",
c, k, convert_b, r_u8
);
}
}
}
fn single_pix_correct(cmyk_pix: [u8; 4], rgb_pix_true: [u8; 3]) {
let rgb_pix = cmyk_to_rgb(&cmyk_pix);
assert_eq!(
rgb_pix_true[0], rgb_pix[0],
"With CMYK {:?} expected {:?}, got {:?}",
cmyk_pix, rgb_pix_true, rgb_pix
);
assert_eq!(
rgb_pix_true[1], rgb_pix[1],
"With CMYK {:?} expected {:?}, got {:?}",
cmyk_pix, rgb_pix_true, rgb_pix
);
assert_eq!(
rgb_pix_true[2], rgb_pix[2],
"With CMYK {:?} expected {:?}, got {:?}",
cmyk_pix, rgb_pix_true, rgb_pix
);
}
#[test]
fn test_assorted_colors() {
let cmyk_pixels = vec![
[0, 51, 102, 65],
[153, 204, 0, 65],
[0, 0, 0, 67],
[0, 85, 170, 69],
[0, 0, 0, 71],
[0, 0, 0, 73],
[0, 17, 34, 75],
[51, 68, 85, 75],
[102, 119, 136, 75],
[153, 170, 187, 75],
[204, 221, 238, 75],
[0, 0, 0, 77],
[0, 0, 0, 79],
[0, 85, 170, 81],
[0, 0, 0, 83],
[0, 3, 6, 85],
[9, 12, 15, 85],
[18, 21, 24, 85],
[27, 30, 33, 85],
[36, 39, 42, 85],
[45, 48, 51, 85],
[54, 57, 60, 85],
[63, 66, 69, 85],
[72, 75, 78, 85],
[81, 84, 87, 85],
[90, 93, 96, 85],
[99, 102, 105, 85],
[108, 111, 114, 85],
[117, 120, 123, 85],
[126, 129, 132, 85],
[135, 138, 141, 85],
[144, 147, 150, 85],
[153, 156, 159, 85],
[162, 165, 168, 85],
[171, 174, 177, 85],
[180, 183, 186, 85],
[189, 192, 195, 85],
[198, 201, 204, 85],
[207, 210, 213, 85],
[216, 219, 222, 85],
[225, 228, 231, 85],
[234, 237, 240, 85],
[243, 246, 249, 85],
[252, 0, 0, 85],
[0, 85, 170, 87],
[0, 0, 0, 89],
[0, 0, 0, 91],
[0, 85, 170, 93],
[0, 51, 102, 95],
[153, 204, 0, 95],
[0, 0, 0, 97],
[0, 85, 170, 99],
[0, 0, 0, 101],
[0, 0, 0, 103],
[0, 17, 34, 105],
[51, 68, 85, 105],
[102, 119, 136, 105],
[153, 170, 187, 105],
[204, 221, 238, 105],
[0, 0, 0, 107],
[0, 0, 0, 109],
[0, 85, 170, 111],
[0, 0, 0, 113],
[0, 51, 102, 115],
[153, 204, 0, 115],
[0, 85, 170, 117],
[0, 15, 30, 119],
[45, 60, 75, 119],
[90, 105, 120, 119],
[135, 150, 165, 119],
[180, 195, 210, 119],
[225, 240, 0, 119],
[0, 0, 0, 121],
[0, 85, 170, 123],
[0, 51, 102, 125],
[153, 204, 0, 125],
[0, 0, 0, 127],
[0, 0, 0, 128],
[0, 85, 170, 129],
[0, 51, 102, 130],
[153, 204, 0, 130],
[0, 0, 0, 131],
[0, 85, 170, 132],
[0, 0, 0, 133],
[0, 0, 0, 134],
[0, 17, 34, 135],
[51, 68, 85, 135],
[102, 119, 136, 135],
[153, 170, 187, 135],
[204, 221, 238, 135],
[0, 15, 30, 136],
[45, 60, 75, 136],
[90, 105, 120, 136],
[135, 150, 165, 136],
[180, 195, 210, 136],
[225, 240, 0, 136],
[0, 0, 0, 137],
[0, 85, 170, 138],
[0, 0, 0, 139],
[0, 51, 102, 140],
[153, 204, 0, 140],
[0, 85, 170, 141],
[0, 0, 0, 142],
[0, 0, 0, 143],
[0, 85, 170, 144],
[0, 51, 102, 145],
[153, 204, 0, 145],
[0, 0, 0, 146],
[0, 85, 170, 147],
[0, 0, 0, 148],
[0, 0, 0, 149],
[0, 17, 34, 150],
[51, 68, 85, 150],
[102, 119, 136, 150],
[153, 170, 187, 150],
[204, 221, 238, 150],
[0, 0, 0, 151],
[0, 0, 0, 152],
[0, 5, 10, 153],
[15, 20, 25, 153],
[30, 35, 40, 153],
[45, 50, 55, 153],
[60, 65, 70, 153],
[75, 80, 85, 153],
[90, 95, 100, 153],
[105, 110, 115, 153],
[120, 125, 130, 153],
[135, 140, 145, 153],
[150, 155, 160, 153],
[165, 170, 175, 153],
[180, 185, 190, 153],
[195, 200, 205, 153],
[210, 215, 220, 153],
[225, 230, 235, 153],
[240, 245, 250, 153],
[0, 0, 0, 154],
[0, 51, 102, 155],
[153, 204, 0, 155],
[0, 85, 170, 156],
[0, 0, 0, 157],
[0, 0, 0, 158],
[0, 85, 170, 159],
[0, 51, 102, 160],
[153, 204, 0, 160],
[0, 0, 0, 161],
[0, 85, 170, 162],
[0, 0, 0, 163],
[0, 0, 0, 164],
[0, 17, 34, 165],
[51, 68, 85, 165],
[102, 119, 136, 165],
[153, 170, 187, 165],
[204, 221, 238, 165],
[0, 0, 0, 166],
[0, 0, 0, 167],
[0, 85, 170, 168],
[0, 0, 0, 169],
[0, 3, 6, 170],
[9, 12, 15, 170],
[18, 21, 24, 170],
[27, 30, 33, 170],
[36, 39, 42, 170],
[45, 48, 51, 170],
[54, 57, 60, 170],
[63, 66, 69, 170],
[72, 75, 78, 170],
[81, 84, 87, 170],
[90, 93, 96, 170],
[99, 102, 105, 170],
[108, 111, 114, 170],
[117, 120, 123, 170],
[126, 129, 132, 170],
[135, 138, 141, 170],
[144, 147, 150, 170],
[153, 156, 159, 170],
[162, 165, 168, 170],
[171, 174, 177, 170],
[180, 183, 186, 170],
[189, 192, 195, 170],
[198, 201, 204, 170],
[207, 210, 213, 170],
[216, 219, 222, 170],
[225, 228, 231, 170],
[234, 237, 240, 170],
[243, 246, 249, 170],
[252, 0, 0, 170],
[0, 85, 170, 171],
[0, 0, 0, 172],
[0, 0, 0, 173],
[0, 85, 170, 174],
[0, 51, 102, 175],
[153, 204, 0, 175],
[0, 0, 0, 176],
[0, 85, 170, 177],
[0, 0, 0, 178],
[0, 0, 0, 179],
[0, 17, 34, 180],
[51, 68, 85, 180],
[102, 119, 136, 180],
[153, 170, 187, 180],
[204, 221, 238, 180],
[0, 0, 0, 181],
[0, 0, 0, 182],
[0, 85, 170, 183],
[0, 0, 0, 184],
[0, 51, 102, 185],
[153, 204, 0, 185],
[0, 85, 170, 186],
[0, 15, 30, 187],
[45, 60, 75, 187],
[90, 105, 120, 187],
[135, 150, 165, 187],
[180, 195, 210, 187],
[225, 240, 0, 187],
[0, 0, 0, 188],
[0, 85, 170, 189],
[0, 51, 102, 190],
[153, 204, 0, 190],
[0, 0, 0, 191],
[0, 85, 170, 192],
[0, 0, 0, 193],
[0, 0, 0, 194],
[0, 17, 34, 195],
[51, 68, 85, 195],
[102, 119, 136, 195],
[153, 170, 187, 195],
[204, 221, 238, 195],
[0, 0, 0, 196],
[0, 0, 0, 197],
[0, 85, 170, 198],
[0, 0, 0, 199],
[0, 51, 102, 200],
[153, 204, 0, 200],
[0, 85, 170, 201],
[0, 0, 0, 202],
[0, 0, 0, 203],
[0, 5, 10, 204],
[15, 20, 25, 204],
[30, 35, 40, 204],
[45, 50, 55, 204],
[60, 65, 70, 204],
[75, 80, 85, 204],
[90, 95, 100, 204],
[105, 110, 115, 204],
[120, 125, 130, 204],
[135, 140, 145, 204],
[150, 155, 160, 204],
[165, 170, 175, 204],
[180, 185, 190, 204],
[195, 200, 205, 204],
[210, 215, 220, 204],
[225, 230, 235, 204],
[240, 245, 250, 204],
[0, 51, 102, 205],
[153, 204, 0, 205],
[0, 0, 0, 206],
[0, 85, 170, 207],
[0, 0, 0, 208],
[0, 0, 0, 209],
[0, 17, 34, 210],
[51, 68, 85, 210],
[102, 119, 136, 210],
[153, 170, 187, 210],
[204, 221, 238, 210],
[0, 0, 0, 211],
[0, 0, 0, 212],
[0, 85, 170, 213],
[0, 0, 0, 214],
[0, 51, 102, 215],
[153, 204, 0, 215],
[0, 85, 170, 216],
[0, 0, 0, 217],
[0, 0, 0, 218],
[0, 85, 170, 219],
[0, 51, 102, 220],
[153, 204, 0, 220],
[0, 15, 30, 221],
[45, 60, 75, 221],
[90, 105, 120, 221],
[135, 150, 165, 221],
[180, 195, 210, 221],
[225, 240, 0, 221],
[0, 85, 170, 222],
[0, 0, 0, 223],
[0, 0, 0, 224],
[0, 17, 34, 225],
[51, 68, 85, 225],
[102, 119, 136, 225],
[153, 170, 187, 225],
[204, 221, 238, 225],
[0, 0, 0, 226],
[0, 0, 0, 227],
[0, 85, 170, 228],
[0, 0, 0, 229],
[0, 51, 102, 230],
[153, 204, 0, 230],
[0, 85, 170, 231],
[0, 0, 0, 232],
[0, 0, 0, 233],
[0, 85, 170, 234],
[0, 51, 102, 235],
[153, 204, 0, 235],
[0, 0, 0, 236],
[0, 85, 170, 237],
[0, 15, 30, 238],
[45, 60, 75, 238],
[90, 105, 120, 238],
[135, 150, 165, 238],
[180, 195, 210, 238],
[225, 240, 0, 238],
[0, 0, 0, 239],
[0, 17, 34, 240],
[51, 68, 85, 240],
[102, 119, 136, 240],
[153, 170, 187, 240],
[204, 221, 238, 240],
[0, 0, 0, 241],
[0, 0, 0, 242],
[0, 85, 170, 243],
[0, 0, 0, 244],
[0, 51, 102, 245],
[153, 204, 0, 245],
[0, 85, 170, 246],
[0, 0, 0, 247],
[0, 0, 0, 248],
[0, 85, 170, 249],
[0, 51, 102, 250],
[153, 204, 0, 250],
[0, 0, 0, 251],
[0, 85, 170, 252],
[0, 0, 0, 253],
[0, 0, 0, 254],
[5, 15, 25, 102],
[35, 40, 45, 102],
[50, 55, 60, 102],
[65, 70, 75, 102],
[80, 85, 90, 102],
[95, 100, 105, 102],
[110, 115, 120, 102],
[125, 130, 135, 102],
[140, 145, 150, 102],
[155, 160, 165, 102],
[170, 175, 180, 102],
[185, 190, 195, 102],
[200, 205, 210, 102],
[215, 220, 225, 102],
[230, 235, 240, 102],
[245, 250, 0, 102],
[15, 45, 60, 68],
[75, 90, 105, 68],
[120, 135, 150, 68],
[165, 180, 195, 68],
[210, 225, 240, 68],
[17, 34, 51, 45],
[68, 85, 102, 45],
[119, 136, 153, 45],
[170, 187, 204, 45],
[221, 238, 0, 45],
[17, 51, 68, 60],
[85, 102, 119, 60],
[136, 153, 170, 60],
[187, 204, 221, 60],
[238, 0, 0, 60],
[17, 34, 51, 90],
[68, 85, 102, 90],
[119, 136, 153, 90],
[170, 187, 204, 90],
[221, 238, 0, 90],
[17, 34, 51, 120],
[68, 85, 102, 120],
[119, 136, 153, 120],
[170, 187, 204, 120],
[221, 238, 0, 120],
[20, 25, 30, 51],
[35, 40, 45, 51],
[50, 55, 60, 51],
[65, 70, 75, 51],
[80, 85, 90, 51],
[95, 100, 105, 51],
[110, 115, 120, 51],
[125, 130, 135, 51],
[140, 145, 150, 51],
[155, 160, 165, 51],
[170, 175, 180, 51],
[185, 190, 195, 51],
[200, 205, 210, 51],
[215, 220, 225, 51],
[230, 235, 240, 51],
[245, 250, 0, 51],
[45, 60, 75, 17],
[90, 105, 120, 17],
[135, 150, 165, 17],
[180, 195, 210, 17],
[225, 240, 0, 17],
[45, 75, 90, 34],
[105, 120, 135, 34],
[150, 165, 180, 34],
[195, 210, 225, 34],
[240, 0, 0, 34],
[51, 153, 204, 20],
[51, 102, 153, 25],
[204, 0, 0, 25],
[51, 85, 119, 30],
[136, 153, 170, 30],
[187, 204, 221, 30],
[238, 0, 0, 30],
[51, 102, 153, 35],
[204, 0, 0, 35],
[51, 102, 153, 40],
[204, 0, 0, 40],
[51, 102, 153, 50],
[204, 0, 0, 50],
[51, 102, 153, 55],
[204, 0, 0, 55],
[51, 102, 153, 70],
[204, 0, 0, 70],
[51, 102, 153, 80],
[204, 0, 0, 80],
[51, 102, 153, 100],
[204, 0, 0, 100],
[51, 102, 153, 110],
[204, 0, 0, 110],
[65, 67, 69, 0],
[71, 73, 75, 0],
[77, 79, 81, 0],
[83, 85, 87, 0],
[89, 91, 93, 0],
[95, 97, 99, 0],
[101, 103, 105, 0],
[107, 109, 111, 0],
[113, 115, 117, 0],
[119, 121, 123, 0],
[125, 127, 128, 0],
[129, 130, 131, 0],
[132, 133, 134, 0],
[135, 136, 137, 0],
[138, 139, 140, 0],
[141, 142, 143, 0],
[144, 145, 146, 0],
[147, 148, 149, 0],
[150, 151, 152, 0],
[153, 154, 155, 0],
[156, 157, 158, 0],
[159, 160, 161, 0],
[162, 163, 164, 0],
[165, 166, 167, 0],
[168, 169, 170, 0],
[171, 172, 173, 0],
[174, 175, 176, 0],
[177, 178, 179, 0],
[180, 181, 182, 0],
[183, 184, 185, 0],
[186, 187, 188, 0],
[189, 190, 191, 0],
[192, 193, 194, 0],
[195, 196, 197, 0],
[198, 199, 200, 0],
[201, 202, 203, 0],
[204, 205, 206, 0],
[207, 208, 209, 0],
[210, 211, 212, 0],
[213, 214, 215, 0],
[216, 217, 218, 0],
[219, 220, 221, 0],
[222, 223, 224, 0],
[225, 226, 227, 0],
[228, 229, 230, 0],
[231, 232, 233, 0],
[234, 235, 236, 0],
[237, 238, 239, 0],
[240, 241, 242, 0],
[243, 244, 245, 0],
[246, 247, 248, 0],
[249, 250, 251, 0],
[252, 253, 254, 0],
[68, 85, 102, 15],
[119, 136, 153, 15],
[170, 187, 204, 15],
[221, 238, 0, 15],
[85, 170, 0, 3],
[85, 170, 0, 6],
[85, 170, 0, 9],
[85, 170, 0, 12],
[85, 170, 0, 18],
[85, 170, 0, 21],
[85, 170, 0, 24],
[85, 170, 0, 27],
[85, 170, 0, 33],
[85, 170, 0, 36],
[85, 170, 0, 39],
[85, 170, 0, 42],
[85, 170, 0, 48],
[85, 170, 0, 54],
[85, 170, 0, 57],
[85, 170, 0, 63],
[85, 170, 0, 66],
[85, 170, 0, 72],
[85, 170, 0, 78],
[85, 170, 0, 84],
[85, 170, 0, 96],
[85, 170, 0, 108],
[85, 170, 0, 114],
[85, 170, 0, 126],
[102, 153, 204, 5],
[153, 204, 0, 10],
];
let rgb_pixels = vec![
[190, 152, 114],
[76, 38, 190],
[188, 188, 188],
[186, 124, 62],
[184, 184, 184],
[182, 182, 182],
[180, 168, 156],
[144, 132, 120],
[108, 96, 84],
[72, 60, 48],
[36, 24, 12],
[178, 178, 178],
[176, 176, 176],
[174, 116, 58],
[172, 172, 172],
[170, 168, 166],
[164, 162, 160],
[158, 156, 154],
[152, 150, 148],
[146, 144, 142],
[140, 138, 136],
[134, 132, 130],
[128, 126, 124],
[122, 120, 118],
[116, 114, 112],
[110, 108, 106],
[104, 102, 100],
[98, 96, 94],
[92, 90, 88],
[86, 84, 82],
[80, 78, 76],
[74, 72, 70],
[68, 66, 64],
[62, 60, 58],
[56, 54, 52],
[50, 48, 46],
[44, 42, 40],
[38, 36, 34],
[32, 30, 28],
[26, 24, 22],
[20, 18, 16],
[14, 12, 10],
[8, 6, 4],
[2, 170, 170],
[168, 112, 56],
[166, 166, 166],
[164, 164, 164],
[162, 108, 54],
[160, 128, 96],
[64, 32, 160],
[158, 158, 158],
[156, 104, 52],
[154, 154, 154],
[152, 152, 152],
[150, 140, 130],
[120, 110, 100],
[90, 80, 70],
[60, 50, 40],
[30, 20, 10],
[148, 148, 148],
[146, 146, 146],
[144, 96, 48],
[142, 142, 142],
[140, 112, 84],
[56, 28, 140],
[138, 92, 46],
[136, 128, 120],
[112, 104, 96],
[88, 80, 72],
[64, 56, 48],
[40, 32, 24],
[16, 8, 136],
[134, 134, 134],
[132, 88, 44],
[130, 104, 78],
[52, 26, 130],
[128, 128, 128],
[127, 127, 127],
[126, 84, 42],
[125, 100, 75],
[50, 25, 125],
[124, 124, 124],
[123, 82, 41],
[122, 122, 122],
[121, 121, 121],
[120, 112, 104],
[96, 88, 80],
[72, 64, 56],
[48, 40, 32],
[24, 16, 8],
[119, 112, 105],
[98, 91, 84],
[77, 70, 63],
[56, 49, 42],
[35, 28, 21],
[14, 7, 119],
[118, 118, 118],
[117, 78, 39],
[116, 116, 116],
[115, 92, 69],
[46, 23, 115],
[114, 76, 38],
[113, 113, 113],
[112, 112, 112],
[111, 74, 37],
[110, 88, 66],
[44, 22, 110],
[109, 109, 109],
[108, 72, 36],
[107, 107, 107],
[106, 106, 106],
[105, 98, 91],
[84, 77, 70],
[63, 56, 49],
[42, 35, 28],
[21, 14, 7],
[104, 104, 104],
[103, 103, 103],
[102, 100, 98],
[96, 94, 92],
[90, 88, 86],
[84, 82, 80],
[78, 76, 74],
[72, 70, 68],
[66, 64, 62],
[60, 58, 56],
[54, 52, 50],
[48, 46, 44],
[42, 40, 38],
[36, 34, 32],
[30, 28, 26],
[24, 22, 20],
[18, 16, 14],
[12, 10, 8],
[6, 4, 2],
[101, 101, 101],
[100, 80, 60],
[40, 20, 100],
[99, 66, 33],
[98, 98, 98],
[97, 97, 97],
[96, 64, 32],
[95, 76, 57],
[38, 19, 95],
[94, 94, 94],
[93, 62, 31],
[92, 92, 92],
[91, 91, 91],
[90, 84, 78],
[72, 66, 60],
[54, 48, 42],
[36, 30, 24],
[18, 12, 6],
[89, 89, 89],
[88, 88, 88],
[87, 58, 29],
[86, 86, 86],
[85, 84, 83],
[82, 81, 80],
[79, 78, 77],
[76, 75, 74],
[73, 72, 71],
[70, 69, 68],
[67, 66, 65],
[64, 63, 62],
[61, 60, 59],
[58, 57, 56],
[55, 54, 53],
[52, 51, 50],
[49, 48, 47],
[46, 45, 44],
[43, 42, 41],
[40, 39, 38],
[37, 36, 35],
[34, 33, 32],
[31, 30, 29],
[28, 27, 26],
[25, 24, 23],
[22, 21, 20],
[19, 18, 17],
[16, 15, 14],
[13, 12, 11],
[10, 9, 8],
[7, 6, 5],
[4, 3, 2],
[1, 85, 85],
[84, 56, 28],
[83, 83, 83],
[82, 82, 82],
[81, 54, 27],
[80, 64, 48],
[32, 16, 80],
[79, 79, 79],
[78, 52, 26],
[77, 77, 77],
[76, 76, 76],
[75, 70, 65],
[60, 55, 50],
[45, 40, 35],
[30, 25, 20],
[15, 10, 5],
[74, 74, 74],
[73, 73, 73],
[72, 48, 24],
[71, 71, 71],
[70, 56, 42],
[28, 14, 70],
[69, 46, 23],
[68, 64, 60],
[56, 52, 48],
[44, 40, 36],
[32, 28, 24],
[20, 16, 12],
[8, 4, 68],
[67, 67, 67],
[66, 44, 22],
[65, 52, 39],
[26, 13, 65],
[64, 64, 64],
[63, 42, 21],
[62, 62, 62],
[61, 61, 61],
[60, 56, 52],
[48, 44, 40],
[36, 32, 28],
[24, 20, 16],
[12, 8, 4],
[59, 59, 59],
[58, 58, 58],
[57, 38, 19],
[56, 56, 56],
[55, 44, 33],
[22, 11, 55],
[54, 36, 18],
[53, 53, 53],
[52, 52, 52],
[51, 50, 49],
[48, 47, 46],
[45, 44, 43],
[42, 41, 40],
[39, 38, 37],
[36, 35, 34],
[33, 32, 31],
[30, 29, 28],
[27, 26, 25],
[24, 23, 22],
[21, 20, 19],
[18, 17, 16],
[15, 14, 13],
[12, 11, 10],
[9, 8, 7],
[6, 5, 4],
[3, 2, 1],
[50, 40, 30],
[20, 10, 50],
[49, 49, 49],
[48, 32, 16],
[47, 47, 47],
[46, 46, 46],
[45, 42, 39],
[36, 33, 30],
[27, 24, 21],
[18, 15, 12],
[9, 6, 3],
[44, 44, 44],
[43, 43, 43],
[42, 28, 14],
[41, 41, 41],
[40, 32, 24],
[16, 8, 40],
[39, 26, 13],
[38, 38, 38],
[37, 37, 37],
[36, 24, 12],
[35, 28, 21],
[14, 7, 35],
[34, 32, 30],
[28, 26, 24],
[22, 20, 18],
[16, 14, 12],
[10, 8, 6],
[4, 2, 34],
[33, 22, 11],
[32, 32, 32],
[31, 31, 31],
[30, 28, 26],
[24, 22, 20],
[18, 16, 14],
[12, 10, 8],
[6, 4, 2],
[29, 29, 29],
[28, 28, 28],
[27, 18, 9],
[26, 26, 26],
[25, 20, 15],
[10, 5, 25],
[24, 16, 8],
[23, 23, 23],
[22, 22, 22],
[21, 14, 7],
[20, 16, 12],
[8, 4, 20],
[19, 19, 19],
[18, 12, 6],
[17, 16, 15],
[14, 13, 12],
[11, 10, 9],
[8, 7, 6],
[5, 4, 3],
[2, 1, 17],
[16, 16, 16],
[15, 14, 13],
[12, 11, 10],
[9, 8, 7],
[6, 5, 4],
[3, 2, 1],
[14, 14, 14],
[13, 13, 13],
[12, 8, 4],
[11, 11, 11],
[10, 8, 6],
[4, 2, 10],
[9, 6, 3],
[8, 8, 8],
[7, 7, 7],
[6, 4, 2],
[5, 4, 3],
[2, 1, 5],
[4, 4, 4],
[3, 2, 1],
[2, 2, 2],
[1, 1, 1],
[150, 144, 138],
[132, 129, 126],
[123, 120, 117],
[114, 111, 108],
[105, 102, 99],
[96, 93, 90],
[87, 84, 81],
[78, 75, 72],
[69, 66, 63],
[60, 57, 54],
[51, 48, 45],
[42, 39, 36],
[33, 30, 27],
[24, 21, 18],
[15, 12, 9],
[6, 3, 153],
[176, 154, 143],
[132, 121, 110],
[99, 88, 77],
[66, 55, 44],
[33, 22, 11],
[196, 182, 168],
[154, 140, 126],
[112, 98, 84],
[70, 56, 42],
[28, 14, 210],
[182, 156, 143],
[130, 117, 104],
[91, 78, 65],
[52, 39, 26],
[13, 195, 195],
[154, 143, 132],
[121, 110, 99],
[88, 77, 66],
[55, 44, 33],
[22, 11, 165],
[126, 117, 108],
[99, 90, 81],
[72, 63, 54],
[45, 36, 27],
[18, 9, 135],
[188, 184, 180],
[176, 172, 168],
[164, 160, 156],
[152, 148, 144],
[140, 136, 132],
[128, 124, 120],
[116, 112, 108],
[104, 100, 96],
[92, 88, 84],
[80, 76, 72],
[68, 64, 60],
[56, 52, 48],
[44, 40, 36],
[32, 28, 24],
[20, 16, 12],
[8, 4, 204],
[196, 182, 168],
[154, 140, 126],
[112, 98, 84],
[70, 56, 42],
[28, 14, 238],
[182, 156, 143],
[130, 117, 104],
[91, 78, 65],
[52, 39, 26],
[13, 221, 221],
[188, 94, 47],
[184, 138, 92],
[46, 230, 230],
[180, 150, 120],
[105, 90, 75],
[60, 45, 30],
[15, 225, 225],
[176, 132, 88],
[44, 220, 220],
[172, 129, 86],
[43, 215, 215],
[164, 123, 82],
[41, 205, 205],
[160, 120, 80],
[40, 200, 200],
[148, 111, 74],
[37, 185, 185],
[140, 105, 70],
[35, 175, 175],
[124, 93, 62],
[31, 155, 155],
[116, 87, 58],
[29, 145, 145],
[190, 188, 186],
[184, 182, 180],
[178, 176, 174],
[172, 170, 168],
[166, 164, 162],
[160, 158, 156],
[154, 152, 150],
[148, 146, 144],
[142, 140, 138],
[136, 134, 132],
[130, 128, 127],
[126, 125, 124],
[123, 122, 121],
[120, 119, 118],
[117, 116, 115],
[114, 113, 112],
[111, 110, 109],
[108, 107, 106],
[105, 104, 103],
[102, 101, 100],
[99, 98, 97],
[96, 95, 94],
[93, 92, 91],
[90, 89, 88],
[87, 86, 85],
[84, 83, 82],
[81, 80, 79],
[78, 77, 76],
[75, 74, 73],
[72, 71, 70],
[69, 68, 67],
[66, 65, 64],
[63, 62, 61],
[60, 59, 58],
[57, 56, 55],
[54, 53, 52],
[51, 50, 49],
[48, 47, 46],
[45, 44, 43],
[42, 41, 40],
[39, 38, 37],
[36, 35, 34],
[33, 32, 31],
[30, 29, 28],
[27, 26, 25],
[24, 23, 22],
[21, 20, 19],
[18, 17, 16],
[15, 14, 13],
[12, 11, 10],
[9, 8, 7],
[6, 5, 4],
[3, 2, 1],
[176, 160, 144],
[128, 112, 96],
[80, 64, 48],
[32, 16, 240],
[168, 84, 252],
[166, 83, 249],
[164, 82, 246],
[162, 81, 243],
[158, 79, 237],
[156, 78, 234],
[154, 77, 231],
[152, 76, 228],
[148, 74, 222],
[146, 73, 219],
[144, 72, 216],
[142, 71, 213],
[138, 69, 207],
[134, 67, 201],
[132, 66, 198],
[128, 64, 192],
[126, 63, 189],
[122, 61, 183],
[118, 59, 177],
[114, 57, 171],
[106, 53, 159],
[98, 49, 147],
[94, 47, 141],
[86, 43, 129],
[150, 100, 50],
[98, 49, 245],
];
for (&cmyk_pixel, rgb_pixel) in cmyk_pixels.iter().zip(rgb_pixels) {
single_pix_correct(cmyk_pixel, rgb_pixel);
}
}
#[cfg(feature = "benchmarks")]
#[bench]
fn bench_cmyk_to_rgb(b: &mut Bencher) {
let mut v = Vec::with_capacity((W * H * 4) as usize);
for c in 0..=255 {
for k in 0..=255 {
v.push(c as u8);
v.push(0);
v.push(0);
v.push(k as u8);
}
}
b.iter(|| {
cmyk_to_rgb(&v);
});
}
#[cfg(feature = "benchmarks")]
#[bench]
fn bench_cmyk_to_rgb_single(b: &mut Bencher) {
b.iter(|| {
cmyk_to_rgb(&[128, 128, 128, 128]);
});
}
}
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