moxcms/conversions/
lut3x4.rs

1/*
2 * // Copyright (c) Radzivon Bartoshyk 3/2025. All rights reserved.
3 * //
4 * // Redistribution and use in source and binary forms, with or without modification,
5 * // are permitted provided that the following conditions are met:
6 * //
7 * // 1.  Redistributions of source code must retain the above copyright notice, this
8 * // list of conditions and the following disclaimer.
9 * //
10 * // 2.  Redistributions in binary form must reproduce the above copyright notice,
11 * // this list of conditions and the following disclaimer in the documentation
12 * // and/or other materials provided with the distribution.
13 * //
14 * // 3.  Neither the name of the copyright holder nor the names of its
15 * // contributors may be used to endorse or promote products derived from
16 * // this software without specific prior written permission.
17 * //
18 * // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
19 * // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
20 * // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
21 * // DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
22 * // FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23 * // DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
24 * // SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
25 * // CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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27 * // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
28 */
29use crate::err::try_vec;
30use crate::profile::LutDataType;
31use crate::safe_math::{SafeMul, SafePowi};
32use crate::trc::lut_interp_linear_float;
33use crate::{
34    CmsError, Cube, DataColorSpace, InterpolationMethod, MalformedSize, Stage, TransformOptions,
35    Vector4f,
36};
37use num_traits::AsPrimitive;
38
39#[derive(Default)]
40struct Lut3x4 {
41    input: [Vec<f32>; 3],
42    clut: Vec<f32>,
43    grid_size: u8,
44    gamma: [Vec<f32>; 4],
45    interpolation_method: InterpolationMethod,
46    pcs: DataColorSpace,
47}
48
49fn make_lut_3x4(
50    lut: &LutDataType,
51    options: TransformOptions,
52    pcs: DataColorSpace,
53) -> Result<Lut3x4, CmsError> {
54    let clut_length: usize = (lut.num_clut_grid_points as usize)
55        .safe_powi(lut.num_input_channels as u32)?
56        .safe_mul(lut.num_output_channels as usize)?;
57
58    let clut_table = lut.clut_table.to_clut_f32();
59    if clut_table.len() != clut_length {
60        return Err(CmsError::MalformedClut(MalformedSize {
61            size: clut_table.len(),
62            expected: clut_length,
63        }));
64    }
65
66    let linearization_table = lut.input_table.to_clut_f32();
67
68    if linearization_table.len() < lut.num_input_table_entries as usize * 3 {
69        return Err(CmsError::MalformedCurveLutTable(MalformedSize {
70            size: linearization_table.len(),
71            expected: lut.num_input_table_entries as usize * 3,
72        }));
73    }
74
75    let linear_curve0 = linearization_table[..lut.num_input_table_entries as usize].to_vec();
76    let linear_curve1 = linearization_table
77        [lut.num_input_table_entries as usize..lut.num_input_table_entries as usize * 2]
78        .to_vec();
79    let linear_curve2 = linearization_table
80        [lut.num_input_table_entries as usize * 2..lut.num_input_table_entries as usize * 3]
81        .to_vec();
82
83    let gamma_table = lut.output_table.to_clut_f32();
84
85    if gamma_table.len() < lut.num_output_table_entries as usize * 4 {
86        return Err(CmsError::MalformedCurveLutTable(MalformedSize {
87            size: gamma_table.len(),
88            expected: lut.num_output_table_entries as usize * 4,
89        }));
90    }
91
92    let gamma_curve0 = gamma_table[..lut.num_output_table_entries as usize].to_vec();
93    let gamma_curve1 = gamma_table
94        [lut.num_output_table_entries as usize..lut.num_output_table_entries as usize * 2]
95        .to_vec();
96    let gamma_curve2 = gamma_table
97        [lut.num_output_table_entries as usize * 2..lut.num_output_table_entries as usize * 3]
98        .to_vec();
99    let gamma_curve3 = gamma_table
100        [lut.num_output_table_entries as usize * 3..lut.num_output_table_entries as usize * 4]
101        .to_vec();
102
103    let transform = Lut3x4 {
104        input: [linear_curve0, linear_curve1, linear_curve2],
105        interpolation_method: options.interpolation_method,
106        clut: clut_table,
107        grid_size: lut.num_clut_grid_points,
108        pcs,
109        gamma: [gamma_curve0, gamma_curve1, gamma_curve2, gamma_curve3],
110    };
111    Ok(transform)
112}
113
114fn stage_lut_3x4(
115    lut: &LutDataType,
116    options: TransformOptions,
117    pcs: DataColorSpace,
118) -> Result<Box<dyn Stage>, CmsError> {
119    let lut = make_lut_3x4(lut, options, pcs)?;
120
121    let transform = Lut3x4 {
122        input: lut.input,
123        interpolation_method: lut.interpolation_method,
124        clut: lut.clut,
125        grid_size: lut.grid_size,
126        pcs: lut.pcs,
127        gamma: lut.gamma,
128    };
129    Ok(Box::new(transform))
130}
131
132impl Lut3x4 {
133    fn transform_impl<Fetch: Fn(f32, f32, f32) -> Vector4f>(
134        &self,
135        src: &[f32],
136        dst: &mut [f32],
137        fetch: Fetch,
138    ) -> Result<(), CmsError> {
139        let linearization_0 = &self.input[0];
140        let linearization_1 = &self.input[1];
141        let linearization_2 = &self.input[2];
142        for (dest, src) in dst.chunks_exact_mut(4).zip(src.chunks_exact(3)) {
143            debug_assert!(self.grid_size as i32 >= 1);
144            let linear_x = lut_interp_linear_float(src[0], linearization_0);
145            let linear_y = lut_interp_linear_float(src[1], linearization_1);
146            let linear_z = lut_interp_linear_float(src[2], linearization_2);
147
148            let clut = fetch(linear_x, linear_y, linear_z);
149
150            let pcs_x = lut_interp_linear_float(clut.v[0], &self.gamma[0]);
151            let pcs_y = lut_interp_linear_float(clut.v[1], &self.gamma[1]);
152            let pcs_z = lut_interp_linear_float(clut.v[2], &self.gamma[2]);
153            let pcs_w = lut_interp_linear_float(clut.v[3], &self.gamma[3]);
154            dest[0] = pcs_x;
155            dest[1] = pcs_y;
156            dest[2] = pcs_z;
157            dest[3] = pcs_w;
158        }
159        Ok(())
160    }
161}
162
163impl Stage for Lut3x4 {
164    fn transform(&self, src: &[f32], dst: &mut [f32]) -> Result<(), CmsError> {
165        let l_tbl = Cube::new_checked(&self.clut, self.grid_size as usize, 4)?;
166
167        // If PCS is LAB then linear interpolation should be used
168        if self.pcs == DataColorSpace::Lab || self.pcs == DataColorSpace::Xyz {
169            return self.transform_impl(src, dst, |x, y, z| l_tbl.trilinear_vec4(x, y, z));
170        }
171
172        match self.interpolation_method {
173            #[cfg(feature = "options")]
174            InterpolationMethod::Tetrahedral => {
175                self.transform_impl(src, dst, |x, y, z| l_tbl.tetra_vec4(x, y, z))?;
176            }
177            #[cfg(feature = "options")]
178            InterpolationMethod::Pyramid => {
179                self.transform_impl(src, dst, |x, y, z| l_tbl.pyramid_vec4(x, y, z))?;
180            }
181            #[cfg(feature = "options")]
182            InterpolationMethod::Prism => {
183                self.transform_impl(src, dst, |x, y, z| l_tbl.prism_vec4(x, y, z))?;
184            }
185            InterpolationMethod::Linear => {
186                self.transform_impl(src, dst, |x, y, z| l_tbl.trilinear_vec4(x, y, z))?;
187            }
188        }
189        Ok(())
190    }
191}
192
193pub(crate) fn create_lut3_samples<T: Copy + 'static, const SAMPLES: usize>() -> Vec<T>
194where
195    u32: AsPrimitive<T>,
196{
197    let lut_size: u32 = (3 * SAMPLES * SAMPLES * SAMPLES) as u32;
198
199    assert!(SAMPLES >= 1);
200
201    let mut src = Vec::with_capacity(lut_size as usize);
202    for x in 0..SAMPLES as u32 {
203        for y in 0..SAMPLES as u32 {
204            for z in 0..SAMPLES as u32 {
205                src.push(x.as_());
206                src.push(y.as_());
207                src.push(z.as_());
208            }
209        }
210    }
211    src
212}
213
214pub(crate) fn create_lut3_samples_norm<const SAMPLES: usize>() -> Vec<f32> {
215    let lut_size: u32 = (3 * SAMPLES * SAMPLES * SAMPLES) as u32;
216
217    assert!(SAMPLES >= 1);
218
219    let scale = 1. / (SAMPLES as f32 - 1.0);
220
221    let mut src = Vec::with_capacity(lut_size as usize);
222    for x in 0..SAMPLES as u32 {
223        for y in 0..SAMPLES as u32 {
224            for z in 0..SAMPLES as u32 {
225                src.push(x as f32 * scale);
226                src.push(y as f32 * scale);
227                src.push(z as f32 * scale);
228            }
229        }
230    }
231    src
232}
233
234pub(crate) fn create_lut3x4(
235    lut: &LutDataType,
236    src: &[f32],
237    options: TransformOptions,
238    pcs: DataColorSpace,
239) -> Result<Vec<f32>, CmsError> {
240    if lut.num_input_channels != 3 || lut.num_output_channels != 4 {
241        return Err(CmsError::UnsupportedProfileConnection);
242    }
243
244    let mut dest = try_vec![0.; (src.len() / 3) * 4];
245
246    let lut_stage = stage_lut_3x4(lut, options, pcs)?;
247    lut_stage.transform(src, &mut dest)?;
248    Ok(dest)
249}