1use std::path::PathBuf;
2use std::sync::Mutex;
3use std::time::Instant;
4
5use anyhow::Result;
6use lru::LruCache;
7use std::num::NonZeroUsize;
8
9use crate::preview::pipeline::pipeline::{GpuPreviewPipeline, Ready};
10use crate::preview::pipeline::params::PreviewParams;
11use crate::preview::pipeline::params::{transfer_to_u32, color_space_to_u32};
12
13pub const THUMBNAIL_WIDTH: u32 = 320;
14pub const THUMBNAIL_HEIGHT: u32 = 180;
15pub const CACHE_MAX_ENTRIES: usize = 1000;
16pub const CACHE_MAX_BYTES: usize = 50 * 1024 * 1024;
17
18pub fn aspect_fit(raw_w: u32, raw_h: u32) -> (u32, u32) {
21 let raw_aspect = raw_w as f64 / raw_h as f64;
22 let target_aspect = THUMBNAIL_WIDTH as f64 / THUMBNAIL_HEIGHT as f64;
23 if raw_aspect > target_aspect {
24 let h = (THUMBNAIL_WIDTH as f64 / raw_aspect) as u32;
25 (THUMBNAIL_WIDTH, h.max(1))
26 } else {
27 let w = (THUMBNAIL_HEIGHT as f64 * raw_aspect) as u32;
28 (w.max(1), THUMBNAIL_HEIGHT)
29 }
30}
31
32fn build_params(
33 width: u32,
34 height: u32,
35 raw_width: u32,
36 raw_height: u32,
37 black_level: f32,
38 white_level: f32,
39 bayer_phase: u32,
40) -> PreviewParams {
41 PreviewParams {
42 width,
43 height,
44 bayer_width: raw_width,
45 bayer_height: raw_height,
46 black_level,
47 white_level,
48 exposure: 0.0,
49 wb_r: 1.0, wb_g: 1.0, wb_b: 1.0,
50 contrast: 1.0,
51 saturation: 1.0,
52 shadows: 0.0,
53 highlights: 0.0,
54 _align0: 0.0, _align1: 0.0,
55 ccm_row0: [1.0, 0.0, 0.0, 0.0],
56 ccm_row1: [0.0, 1.0, 0.0, 0.0],
57 ccm_row2: [0.0, 0.0, 1.0, 0.0],
58 color_space: color_space_to_u32(&crate::color::ColorSpace::Rec709),
59 transfer: transfer_to_u32(&crate::color::TransferFunction::Gamma24),
60 adjust_enabled: 0,
61 bayer_phase,
62 compute_histogram: 0,
63 _pad0: 0, _pad1: 0, _pad2: 0, _pad3: 0, _pad4: 0, _pad5: 0, _pad6: 0,
64 }
65}
66
67static FALLBACK_PLACEHOLDER: &[u8] = include_bytes!("../assets/placeholder.sixel");
68
69#[derive(Clone)]
70pub struct CachedThumbnail {
71 pub sixel: Vec<u8>,
72 pub width: u32,
73 pub height: u32,
74 pub encode_time: Instant,
75}
76
77impl CachedThumbnail {
78 pub fn byte_size(&self) -> usize {
79 self.sixel.len()
80 }
81}
82
83pub struct ThumbnailCache {
84 inner: Mutex<LruCache<PathBuf, CachedThumbnail>>,
85 current_bytes: std::sync::atomic::AtomicUsize,
86 pub placeholder: Vec<u8>,
87}
88
89impl ThumbnailCache {
90 pub fn new() -> Self {
91 Self::new_with_placeholder(None)
92 }
93
94 pub fn new_with_placeholder(custom_path: Option<&std::path::Path>) -> Self {
95 let placeholder = match custom_path {
96 Some(p) => match std::fs::read(p) {
97 Ok(data) => {
98 tracing::info!("loaded custom placeholder from {}", p.display());
99 data
100 }
101 Err(e) => {
102 tracing::warn!("failed to load custom placeholder {}: {}; using bundled", p.display(), e);
103 FALLBACK_PLACEHOLDER.to_vec()
104 }
105 }
106 None => FALLBACK_PLACEHOLDER.to_vec(),
107 };
108
109 Self {
110 inner: Mutex::new(LruCache::new(NonZeroUsize::new(CACHE_MAX_ENTRIES).unwrap())),
111 current_bytes: std::sync::atomic::AtomicUsize::new(0),
112 placeholder,
113 }
114 }
115
116 pub fn get(&self, path: &PathBuf) -> Option<CachedThumbnail> {
117 let mut cache = self.inner.lock().unwrap();
118 cache.get(path).cloned()
119 }
120
121 pub fn insert(&self, path: PathBuf, thumbnail: CachedThumbnail) {
122 let size = thumbnail.byte_size();
123 let mut cache = self.inner.lock().unwrap();
124
125 let mut evict_bytes = 0usize;
127 while self.current_bytes.load(std::sync::atomic::Ordering::Relaxed) + size > CACHE_MAX_BYTES && !cache.is_empty() {
128 if let Some((_, evicted)) = cache.pop_lru() {
129 evict_bytes += evicted.byte_size();
130 }
131 }
132
133 if let Some(old) = cache.put(path, thumbnail) {
134 self.current_bytes.fetch_sub(old.byte_size(), std::sync::atomic::Ordering::Relaxed);
135 }
136
137 self.current_bytes.fetch_add(size, std::sync::atomic::Ordering::Relaxed);
138 if evict_bytes > 0 {
139 self.current_bytes.fetch_sub(evict_bytes, std::sync::atomic::Ordering::Relaxed);
140 }
141 }
142
143 pub fn clear(&self) {
144 let mut cache = self.inner.lock().unwrap();
145 cache.clear();
146 self.current_bytes.store(0, std::sync::atomic::Ordering::Relaxed);
147 }
148
149 pub fn len(&self) -> usize {
150 self.inner.lock().unwrap().len()
151 }
152}
153
154impl Default for ThumbnailCache {
155 fn default() -> Self {
156 Self::new()
157 }
158}
159
160pub fn compute_thumbnail(
161 pipeline: &mut GpuPreviewPipeline<Ready>,
162 bayer: &[u16],
163 raw_width: u32,
164 raw_height: u32,
165 black_level: f32,
166 white_level: f32,
167 bayer_phase: u32,
168) -> Result<CachedThumbnail> {
169 let (width, height) = aspect_fit(raw_width, raw_height);
170
171 let params = build_params(width, height, raw_width, raw_height, black_level, white_level, bayer_phase);
172
173 let (rgba, w, h) = pipeline.process_and_readback(bayer, ¶ms)?;
174
175 let sixel = icy_sixel::sixel_encode(
176 &rgba,
177 w as usize,
178 h as usize,
179 &icy_sixel::EncodeOptions::default(),
180 ).map_err(|e| anyhow::anyhow!("sixel encode: {}", e))?;
181
182 Ok(CachedThumbnail {
183 sixel: sixel.into_bytes(),
184 width: w,
185 height: h,
186 encode_time: Instant::now(),
187 })
188}
189
190fn smoothstep(edge0: f32, edge1: f32, x: f32) -> f32 {
195 let t = ((x - edge0) / (edge1 - edge0)).clamp(0.0, 1.0);
196 t * t * (3.0 - 2.0 * t)
197}
198
199fn load_bayer(bayer: &[u16], raw_w: u32, x: i32, y: i32) -> f32 {
200 let cx = x.clamp(0, raw_w as i32 - 1);
201 let cy = y.clamp(0, (bayer.len() as u32 / raw_w).saturating_sub(1) as i32);
202 bayer[(cy as u32 * raw_w + cx as u32) as usize] as f32
203}
204
205fn bayer_color(x: i32, y: i32, phase: u32) -> i32 {
206 let even_row = (y & 1) == 0;
207 let even_col = (x & 1) == 0;
208 match phase {
209 0 => { if even_row { if even_col { 0 } else { 1 } }
211 else { if even_col { 1 } else { 2 } }
212 }
213 1 => { if even_row { if even_col { 1 } else { 0 } }
215 else { if even_col { 2 } else { 1 } }
216 }
217 2 => { if even_row { if even_col { 1 } else { 2 } }
219 else { if even_col { 0 } else { 1 } }
220 }
221 _ => { if even_row { if even_col { 2 } else { 1 } }
223 else { if even_col { 1 } else { 0 } }
224 }
225 }
226}
227
228fn demosaic_bilinear(bayer: &[u16], raw_w: u32, _raw_h: u32, phase: u32, x: i32, y: i32) -> [f32; 3] {
229 let c = bayer_color(x, y, phase);
230 let center = load_bayer(bayer, raw_w, x, y);
231 let n = load_bayer(bayer, raw_w, x, y - 1);
232 let s = load_bayer(bayer, raw_w, x, y + 1);
233 let w = load_bayer(bayer, raw_w, x - 1, y);
234 let e = load_bayer(bayer, raw_w, x + 1, y);
235 let nw = load_bayer(bayer, raw_w, x - 1, y - 1);
236 let ne = load_bayer(bayer, raw_w, x + 1, y - 1);
237 let sw = load_bayer(bayer, raw_w, x - 1, y + 1);
238 let se = load_bayer(bayer, raw_w, x + 1, y + 1);
239
240 let (r, g, b) = if c == 0 { (center, (n + s + w + e) * 0.25, (nw + ne + sw + se) * 0.25)
242 } else if c == 2 { ((nw + ne + sw + se) * 0.25, (n + s + w + e) * 0.25, center)
244 } else { let horiz_color = bayer_color(x - 1, y, phase);
246 let _vert_color = bayer_color(x, y - 1, phase);
247 if horiz_color == 0 { ((w + e) * 0.5, center, (n + s) * 0.5)
249 } else { ((n + s) * 0.5, center, (w + e) * 0.5)
251 }
252 };
253 [r, g, b]
254}
255
256fn apply_oetf(r: f32, g: f32, b: f32, tf: u32) -> [f32; 3] {
257 let oetf_ch = |x: f32| -> f32 {
258 match tf {
259 0 => x,
260 14 => x.max(0.0).powf(1.0 / 2.4),
261 1 => {
262 if x < 0.018 { 4.5 * x }
263 else { 1.099 * x.max(0.0).powf(0.45) - 0.099 }
264 }
265 2 => {
266 if x >= 0.01 { 0.432699 * (10.0 * x + 1.0).log10() + 0.037584 }
267 else { (x * 261.5 + 10.23) / 1023.0 }
268 }
269 3 => {
270 if x < 0.01 { 5.6 * x + 0.125 }
271 else { 0.241514 * (x + 0.00873).log10() + 0.598206 }
272 }
273 4 => {
274 if x > 0.010591 { 0.247190 * (5.555556 * x + 0.052272).log10() + 0.385537 }
275 else { 5.367655 * x + 0.092809 }
276 }
277 5 => {
278 let a: f32 = (262144.0 - 16.0) / 117.45;
279 let b_rev: f32 = (1023.0 - 95.0) / 1023.0;
280 let c_rev: f32 = 95.0 / 1023.0;
281 let s_rev = (7.0 * 0.6931471805599453 * f32::exp2(7.0 - 14.0 * c_rev / b_rev)) / (a * b_rev);
282 let t_rev = (f32::exp2(14.0 * (-c_rev / b_rev) + 6.0) - 64.0) / a;
283 if x >= t_rev {
284 ((a * x + 64.0).log2() - 6.0) / 14.0 * b_rev + c_rev
285 } else {
286 (x - t_rev) / s_rev
287 }
288 }
289 6 => {
290 let neg_graft = (0.097465473 - 0.12512219) / 1.9754798;
291 let pos_graft = (0.15277891 - 0.12512219) / 1.9754798;
292 if x < neg_graft {
293 -0.36726845 * ((-x * 14.98325 + 1.0).max(1e-10)).log10() + 0.12783901
294 } else if x <= pos_graft {
295 1.9754798 * x + 0.12512219
296 } else {
297 0.36726845 * (x * 14.98325 + 1.0).log10() + 0.12240537
298 }
299 }
300 7 => {
301 if x >= 0.000889 { 0.245281 * (5.555556 * x + 0.064829).log10() + 0.384316 }
302 else { 8.799461 * x + 0.092864 }
303 }
304 8 | 9 => {
305 if x < -0.05641088 { 0.0 }
306 else if x < 0.01 { 47.28711236 * (x + 0.05641088) * (x + 0.05641088) }
307 else { 0.08550479 * (x + 0.00964052).log2() + 0.69336945 }
308 }
309 10 => {
310 if x > 0.0078125 { (x.log2() + 9.72) / 17.52 }
311 else { 10.5402377416545 * x + 0.0729055341958355 }
312 }
313 11 => {
314 let m1 = 0.1593017578125;
315 let m2 = 78.84375;
316 let c1 = 0.8359375;
317 let c2 = 18.8515625;
318 let c3 = 18.6875;
319 let x_m1 = x.max(0.0).powf(m1);
320 (c1 + c2 * x_m1).max(0.0) / (1.0 + c3 * x_m1).max(1e-10).powf(m2)
321 }
322 12 => {
323 if x < 1.0 / 12.0 { (3.0 * x.max(0.0)).sqrt() }
324 else { 0.17883277 * (12.0 * x - 0.28466892).max(1e-10).ln() + 0.55991073 }
325 }
326 13 => {
327 if x <= 0.00262409 { x * 10.44426855 }
328 else { 0.07329248 * ((x + 0.0075).log2() + 7.0) }
329 }
330 _ => x,
331 }
332 };
333 [oetf_ch(r), oetf_ch(g), oetf_ch(b)]
334}
335
336fn inverse_oetf(r: f32, g: f32, b: f32, tf: u32) -> [f32; 3] {
337 let inv_ch = |y: f32| -> f32 {
338 match tf {
339 0 => y,
340 14 => y.max(0.0).powf(2.4),
341 1 => {
342 if y < 0.081 { y / 4.5 }
343 else { ((y + 0.099) / 1.099).powf(1.0 / 0.45) }
344 }
345 2 => {
346 let knee_val = (0.01 * 261.5 + 10.23) / 1023.0;
347 if y >= knee_val { ((10.0f32).powf((y - 0.037584) / 0.432699) - 1.0) / 10.0 }
348 else { (y * 1023.0 - 10.23) / 261.5 }
349 }
350 3 => {
351 if y < 0.181 { (y - 0.125) / 5.6 }
352 else { (10.0f32).powf((y - 0.598206) / 0.241514) - 0.00873 }
353 }
354 4 => {
355 let knee_val = 5.367655 * 0.010591 + 0.092809;
356 if y >= knee_val { ((10.0f32).powf((y - 0.385537) / 0.247190) - 0.052272) / 5.555556 }
357 else { (y - 0.092809) / 5.367655 }
358 }
359 5 => {
360 let a: f32 = (262144.0 - 16.0) / 117.45;
361 let b_rev: f32 = (1023.0 - 95.0) / 1023.0;
362 let c_rev: f32 = 95.0 / 1023.0;
363 let s_rev = (7.0 * 0.6931471805599453 * f32::exp2(7.0 - 14.0 * c_rev / b_rev)) / (a * b_rev);
364 let t_rev = (f32::exp2(14.0 * (-c_rev / b_rev) + 6.0) - 64.0) / a;
365 if y >= 0.0 { (f32::exp2(14.0 * ((y - c_rev) / b_rev) + 6.0) - 64.0) / a }
366 else { y * s_rev + t_rev }
367 }
368 6 => {
369 let neg_graft = (0.097465473 - 0.12512219) / 1.9754798;
370 let pos_graft = (0.15277891 - 0.12512219) / 1.9754798;
371 let knee_lo = 0.12512219 + neg_graft * 1.9754798;
372 let knee_hi = 0.12512219 + pos_graft * 1.9754798;
373 if y < knee_lo {
374 ((10.0f32).powf(-(y - 0.12783901) / 0.36726845) - 1.0) / (-14.98325)
375 } else if y <= knee_hi {
376 (y - 0.12512219) / 1.9754798
377 } else {
378 ((10.0f32).powf((y - 0.12240537) / 0.36726845) - 1.0) / 14.98325
379 }
380 }
381 7 => {
382 let knee_val = 8.799461 * 0.000889 + 0.092864;
383 if y >= knee_val { ((10.0f32).powf((y - 0.384316) / 0.245281) - 0.064829) / 5.555556 }
384 else { (y - 0.092864) / 8.799461 }
385 }
386 8 | 9 => {
387 if y <= 0.0 { -0.05641088 }
388 else {
389 let knee_val = 47.28711236 * (0.01 + 0.05641088) * (0.01 + 0.05641088);
390 if y < knee_val { (y / 47.28711236).sqrt() - 0.05641088 }
391 else { (2.0f32).powf((y - 0.69336945) / 0.08550479) - 0.00964052 }
392 }
393 }
394 10 => {
395 let cutoff = 10.5402377416545 * 0.0078125 + 0.0729055341958355;
396 if y > cutoff { (2.0f32).powf(y * 17.52 - 9.72) }
397 else { (y - 0.0729055341958355) / 10.5402377416545 }
398 }
399 11 => {
400 let m1 = 0.1593017578125;
401 let m2 = 78.84375;
402 let c1 = 0.8359375;
403 let c2 = 18.8515625;
404 let c3 = 18.6875;
405 let v = y.max(0.0);
406 let v_m2 = v.powf(1.0 / m2);
407 let num = (v_m2 - c1).max(0.0);
408 let den = c2 - c3 * v_m2;
409 if den > 0.0 { (num / den).powf(1.0 / m1) }
410 else { 0.0 }
411 }
412 12 => {
413 let knee_out: f32 = f32::sqrt(3.0 / 12.0);
414 if y <= knee_out { y * y / 3.0 }
415 else { ((y - 0.55991073) / 0.17883277).exp() + 0.28466892 / 12.0 }
416 }
417 13 => {
418 let cut_out = 0.00262409 * 10.44426855;
419 if y <= cut_out { y / 10.44426855 }
420 else { (2.0f32).powf(y / 0.07329248 - 7.0) - 0.0075 }
421 }
422 _ => y,
423 }
424 };
425 [inv_ch(r), inv_ch(g), inv_ch(b)]
426}
427
428fn srgb_oetf(r: f32, g: f32, b: f32) -> [f32; 3] {
429 let srgb_ch = |x: f32| -> f32 {
430 if x <= 0.0031308 { x * 12.92 }
431 else { 1.055 * x.max(0.0).powf(1.0 / 2.4) - 0.055 }
432 };
433 [srgb_ch(r), srgb_ch(g), srgb_ch(b)]
434}
435
436fn apply_tone_curve(r: f32, g: f32, b: f32, shadows: f32, highlights: f32) -> [f32; 3] {
437 let luma = 0.2126 * r + 0.7152 * g + 0.0722 * b;
438 let shadow_weight = 1.0 - smoothstep(0.0, 0.35, luma);
439 let mut rt = r + shadows * shadow_weight;
440 let mut gt = g + shadows * shadow_weight;
441 let mut bt = b + shadows * shadow_weight;
442 let hi_weight = smoothstep(0.5, 1.0, luma);
443 rt = rt + highlights * hi_weight * rt;
444 gt = gt + highlights * hi_weight * gt;
445 bt = bt + highlights * hi_weight * bt;
446 [rt.max(0.0), gt.max(0.0), bt.max(0.0)]
447}
448
449fn xyz_to_rec709(x: f32, y: f32, z: f32) -> [f32; 3] {
450 [
451 3.2404542 * x + -1.9692660 * y + 0.0556434 * z,
452 -1.5371385 * x + 1.8760108 * y + -0.2040259 * z,
453 -0.4985314 * x + 0.0415560 * y + 1.0572252 * z,
454 ]
455}
456
457fn working_to_xyz(r: f32, g: f32, b: f32, cs: u32) -> [f32; 3] {
458 match cs {
459 0 => [ 0.6954522414 * r + 0.1406786965 * g + 0.1638690622 * b,
461 0.0447945634 * r + 0.8596711185 * g + 0.0955343182 * b,
462 -0.0055258826 * r + 0.0040252104 * g + 1.0015006723 * b,
463 ],
464 1 => [ 1.99650669 * r + -0.04380294 * g + 0.04729625 * b,
466 0.50573456 * r + 0.86522867 * g + -0.37096323 * b,
467 0.00612684 * r + -0.00089651 * g + 0.99476967 * b,
468 ],
469 2 => [ 0.688161 * r + 0.150181 * g + 0.161658 * b,
471 0.047434 * r + 0.807529 * g + 0.145037 * b,
472 -0.002103 * r + -0.004533 * g + 1.006636 * b,
473 ],
474 3 => [ 0.732690 * r + 0.143327 * g + 0.123983 * b,
476 0.044200 * r + 0.878486 * g + 0.077314 * b,
477 -0.001988 * r + -0.003142 * g + 1.005130 * b,
478 ],
479 5 => [ 0.8000 * r + 0.3130 * g + -0.1130 * b,
481 0.1682 * r + 0.9877 * g + -0.1559 * b,
482 0.0790 * r + -0.1155 * g + 1.0365 * b,
483 ],
484 6 | 7 => [ 0.4865709 * r + 0.2656677 * g + 0.1982242 * b,
486 0.2289746 * r + 0.6917385 * g + 0.0792869 * b,
487 0.0 * r + 0.0451136 * g + 1.0439444 * b,
488 ],
489 11 => [ 0.6369580 * r + 0.1446169 * g + 0.1688810 * b,
491 0.2627002 * r + 0.6779981 * g + 0.0593017 * b,
492 0.0 * r + 0.0280727 * g + 1.0609052 * b,
493 ],
494 _ => [r.clamp(0.0, 1.0), g.clamp(0.0, 1.0), b.clamp(0.0, 1.0)],
495 }
496}
497
498fn gamut_clip_to_srgb(r: f32, g: f32, b: f32, cs: u32) -> [f32; 3] {
499 if cs == 12 || cs == 15 { [r.clamp(0.0, 1.0), g.clamp(0.0, 1.0), b.clamp(0.0, 1.0)]
501 } else {
502 let xyz = working_to_xyz(r, g, b, cs);
503 let srgb = xyz_to_rec709(xyz[0], xyz[1], xyz[2]);
504 [srgb[0].clamp(0.0, 1.0), srgb[1].clamp(0.0, 1.0), srgb[2].clamp(0.0, 1.0)]
505 }
506}
507
508pub fn cpu_thumbnail(
513 bayer: &[u16],
514 params: &PreviewParams,
515) -> Result<(Vec<u8>, u32, u32)> {
516 let out_w = params.width;
517 let out_h = params.height;
518 let raw_w = params.bayer_width;
519 let raw_h = params.bayer_height;
520 let black = params.black_level;
521 let range = (params.white_level - black).max(0.001);
522 let exp_gain = (2.0f32).powf(params.exposure);
523 let adjust = params.adjust_enabled != 0;
524 let phase = params.bayer_phase;
525
526 let mut rgba = vec![0u8; (out_w * out_h * 4) as usize];
527
528 for y in 0..out_h {
531 for x in 0..out_w {
532 let src_x = (x * raw_w) / out_w;
533 let src_y = (y * raw_h) / out_h;
534
535 let mut rgb = demosaic_bilinear(bayer, raw_w, raw_h, phase, src_x as i32, src_y as i32);
537
538 rgb[0] = (rgb[0] - black) / range;
540 rgb[1] = (rgb[1] - black) / range;
541 rgb[2] = (rgb[2] - black) / range;
542
543 rgb[0] *= exp_gain;
545 rgb[1] *= exp_gain;
546 rgb[2] *= exp_gain;
547
548 rgb[0] *= params.wb_r;
550 rgb[1] *= params.wb_g;
551 rgb[2] *= params.wb_b;
552
553 let (cr, cg, cb) = (rgb[0], rgb[1], rgb[2]);
558 rgb[0] = params.ccm_row0[0] * cr + params.ccm_row1[0] * cg + params.ccm_row2[0] * cb;
559 rgb[1] = params.ccm_row0[1] * cr + params.ccm_row1[1] * cg + params.ccm_row2[1] * cb;
560 rgb[2] = params.ccm_row0[2] * cr + params.ccm_row1[2] * cg + params.ccm_row2[2] * cb;
561
562 if adjust {
564 rgb = apply_tone_curve(rgb[0], rgb[1], rgb[2], params.shadows, params.highlights);
565 rgb[0] = ((rgb[0] - 0.18) * params.contrast + 0.18).max(0.0);
567 rgb[1] = ((rgb[1] - 0.18) * params.contrast + 0.18).max(0.0);
568 rgb[2] = ((rgb[2] - 0.18) * params.contrast + 0.18).max(0.0);
569 let luma = 0.2126 * rgb[0] + 0.7152 * rgb[1] + 0.0722 * rgb[2];
571 rgb[0] = luma + (rgb[0] - luma) * params.saturation;
572 rgb[1] = luma + (rgb[1] - luma) * params.saturation;
573 rgb[2] = luma + (rgb[2] - luma) * params.saturation;
574 }
575
576 let encoded = apply_oetf(rgb[0], rgb[1], rgb[2], params.transfer);
578
579 let linear_for_display = inverse_oetf(encoded[0], encoded[1], encoded[2], params.transfer);
581
582 let srgb_linear = gamut_clip_to_srgb(linear_for_display[0], linear_for_display[1], linear_for_display[2], params.color_space);
584
585 let display = srgb_oetf(srgb_linear[0], srgb_linear[1], srgb_linear[2]);
587
588 let idx = ((y * out_w + x) * 4) as usize;
590 rgba[idx] = (display[0].clamp(0.0, 1.0) * 255.0 + 0.5) as u8;
591 rgba[idx + 1] = (display[1].clamp(0.0, 1.0) * 255.0 + 0.5) as u8;
592 rgba[idx + 2] = (display[2].clamp(0.0, 1.0) * 255.0 + 0.5) as u8;
593 rgba[idx + 3] = 255;
594 }
595 }
596
597 let sixel = icy_sixel::sixel_encode(
599 &rgba,
600 out_w as usize,
601 out_h as usize,
602 &icy_sixel::EncodeOptions::default(),
603 ).map_err(|e| anyhow::anyhow!("sixel encode: {}", e))?;
604
605 Ok((sixel.into_bytes(), out_w, out_h))
606}