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| </pre><pre class="rust"><code><span class="doccomment">//! NEUQUANT Neural-Net quantization algorithm by Anthony Dekker, 1994. |
| //! See "Kohonen neural networks for optimal colour quantization" |
| //! in "Network: Computation in Neural Systems" Vol. 5 (1994) pp 351-367. |
| //! for a discussion of the algorithm. |
| //! See also <https://scientificgems.wordpress.com/stuff/neuquant-fast-high-quality-image-quantization/> |
| |
| </span><span class="comment">/* NeuQuant Neural-Net Quantization Algorithm |
| * ------------------------------------------ |
| * |
| * Copyright (c) 1994 Anthony Dekker |
| * |
| * NEUQUANT Neural-Net quantization algorithm by Anthony Dekker, 1994. |
| * See "Kohonen neural networks for optimal colour quantization" |
| * in "Network: Computation in Neural Systems" Vol. 5 (1994) pp 351-367. |
| * for a discussion of the algorithm. |
| * See also https://scientificgems.wordpress.com/stuff/neuquant-fast-high-quality-image-quantization/ |
| * |
| * Any party obtaining a copy of these files from the author, directly or |
| * indirectly, is granted, free of charge, a full and unrestricted irrevocable, |
| * world-wide, paid up, royalty-free, nonexclusive right and license to deal |
| * in this software and documentation files (the "Software"), including without |
| * limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, |
| * and/or sell copies of the Software, and to permit persons who receive |
| * copies from any such party to do so, with the only requirement being |
| * that this copyright notice remain intact. |
| * |
| * |
| * Incorporated bugfixes and alpha channel handling from pngnq |
| * http://pngnq.sourceforge.net |
| * |
| */ |
| |
| </span><span class="doccomment">/// Neural network color quantizer |
| /// |
| /// # Examples |
| /// ``` |
| /// use image::imageops::colorops::{index_colors, ColorMap}; |
| /// use image::math::nq::NeuQuant; |
| /// use image::{ImageBuffer, Rgba, RgbaImage}; |
| /// |
| /// // Create simple color image with RGBA pixels. |
| /// let (w, h) = (2, 2); |
| /// let red: Rgba<u8> = [255, 0, 0, 255].into(); |
| /// let green: Rgba<u8> = [0, 255, 0, 255].into(); |
| /// let blue: Rgba<u8> = [0, 0, 255, 255].into(); |
| /// let white: Rgba<u8> = [255, 255, 255, 255].into(); |
| /// let mut color_image = RgbaImage::new(w, h); |
| /// color_image.put_pixel(0, 0, red); |
| /// color_image.put_pixel(1, 0, green); |
| /// color_image.put_pixel(0, 1, blue); |
| /// color_image.put_pixel(1, 1, white); |
| /// |
| /// // Create a `NeuQuant` colormap that will build an approximate color palette that best matches |
| /// // the original image. |
| /// // Note, the NeuQuant algorithm is only designed to work with 6-8 bit output, so `colors` |
| /// // should be a power of 2 in the range [64, 256]. |
| /// let pixels = color_image.clone().into_raw(); |
| /// let cmap = NeuQuant::new(1, 256, &pixels); |
| /// // Map the original image through the color map to create an indexed image stored in a |
| /// // `GrayImage`. |
| /// let palletized = index_colors(&color_image, &cmap); |
| /// // Map indexed image back `RgbaImage`. Note the NeuQuant algorithm creates an approximation of |
| /// // the original colors, so even in this simple example the output is not pixel equivalent to |
| /// // the original. |
| /// let mapped = ImageBuffer::from_fn(w, h, |x, y| -> Rgba<u8> { |
| /// let p = palletized.get_pixel(x, y); |
| /// cmap.lookup(p.0[0] as usize) |
| /// .expect("indexed color out-of-range") |
| /// .into() |
| /// }); |
| /// ``` |
| </span><span class="attribute">#[deprecated(note = <span class="string">"Use the `color_quant` crate instead"</span>)] |
| </span><span class="kw">pub struct </span>NeuQuant { |
| inner: color_quant::NeuQuant, |
| } |
| |
| <span class="doccomment">/// The implementation only calls the corresponding inner `color_quant` methods. |
| /// |
| /// These exist purely to keep a type separate from [`color_quant::NeuQuant`] and the interface |
| /// stable for this major version. The type will be changed to a pure re-export in the next |
| /// version or might be removed. |
| /// |
| /// [`color_quant::NeuQuant`]: https://docs.rs/color_quant/1.1.0/color_quant/struct.NeuQuant.html |
| </span><span class="attribute">#[allow(deprecated)] |
| #[allow(missing_docs)] |
| </span><span class="kw">impl </span>NeuQuant { |
| <span class="kw">pub fn </span>new(samplefac: i32, colors: usize, pixels: <span class="kw-2">&</span>[u8]) -> <span class="self">Self </span>{ |
| color_quant::NeuQuant::new(samplefac, colors, pixels).into() |
| } |
| <span class="kw">pub fn </span>init(<span class="kw-2">&mut </span><span class="self">self</span>, pixels: <span class="kw-2">&</span>[u8]) { |
| <span class="self">self</span>.inner.init(pixels) |
| } |
| <span class="kw">pub fn </span>map_pixel(<span class="kw-2">&</span><span class="self">self</span>, pixel: <span class="kw-2">&mut </span>[u8]) { |
| <span class="self">self</span>.inner.map_pixel(pixel) |
| } |
| <span class="kw">pub fn </span>index_of(<span class="kw-2">&</span><span class="self">self</span>, pixel: <span class="kw-2">&</span>[u8]) -> usize { |
| <span class="self">self</span>.inner.index_of(pixel) |
| } |
| <span class="kw">pub fn </span>lookup(<span class="kw-2">&</span><span class="self">self</span>, idx: usize) -> <span class="prelude-ty">Option</span><[u8; <span class="number">4</span>]> { |
| <span class="self">self</span>.inner.lookup(idx) |
| } |
| } |
| |
| <span class="attribute">#[allow(deprecated)] |
| </span><span class="kw">impl </span>From<color_quant::NeuQuant> <span class="kw">for </span>NeuQuant { |
| <span class="kw">fn </span>from(inner: color_quant::NeuQuant) -> <span class="self">Self </span>{ |
| NeuQuant { inner } |
| } |
| } |
| |
| <span class="attribute">#[allow(deprecated)] |
| </span><span class="kw">impl </span>From<NeuQuant> <span class="kw">for </span>color_quant::NeuQuant { |
| <span class="kw">fn </span>from(this: NeuQuant) -> <span class="self">Self </span>{ |
| this.inner |
| } |
| } |
| </code></pre></div> |
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