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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
commit | 36d22d82aa202bb199967e9512281e9a53db42c9 (patch) | |
tree | 105e8c98ddea1c1e4784a60a5a6410fa416be2de /third_party/jpeg-xl/lib/jxl/enc_patch_dictionary.cc | |
parent | Initial commit. (diff) | |
download | firefox-esr-upstream.tar.xz firefox-esr-upstream.zip |
Adding upstream version 115.7.0esr.upstream/115.7.0esrupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | third_party/jpeg-xl/lib/jxl/enc_patch_dictionary.cc | 813 |
1 files changed, 813 insertions, 0 deletions
diff --git a/third_party/jpeg-xl/lib/jxl/enc_patch_dictionary.cc b/third_party/jpeg-xl/lib/jxl/enc_patch_dictionary.cc new file mode 100644 index 0000000000..157e18c3a8 --- /dev/null +++ b/third_party/jpeg-xl/lib/jxl/enc_patch_dictionary.cc @@ -0,0 +1,813 @@ +// Copyright (c) the JPEG XL Project Authors. All rights reserved. +// +// Use of this source code is governed by a BSD-style +// license that can be found in the LICENSE file. + +#include "lib/jxl/enc_patch_dictionary.h" + +#include <stdint.h> +#include <stdlib.h> +#include <sys/types.h> + +#include <algorithm> +#include <atomic> +#include <string> +#include <tuple> +#include <utility> +#include <vector> + +#include "lib/jxl/ans_params.h" +#include "lib/jxl/base/compiler_specific.h" +#include "lib/jxl/base/override.h" +#include "lib/jxl/base/random.h" +#include "lib/jxl/base/status.h" +#include "lib/jxl/chroma_from_luma.h" +#include "lib/jxl/color_management.h" +#include "lib/jxl/common.h" +#include "lib/jxl/dec_cache.h" +#include "lib/jxl/dec_frame.h" +#include "lib/jxl/enc_ans.h" +#include "lib/jxl/enc_aux_out.h" +#include "lib/jxl/enc_cache.h" +#include "lib/jxl/enc_dot_dictionary.h" +#include "lib/jxl/enc_frame.h" +#include "lib/jxl/entropy_coder.h" +#include "lib/jxl/frame_header.h" +#include "lib/jxl/image.h" +#include "lib/jxl/image_bundle.h" +#include "lib/jxl/image_ops.h" +#include "lib/jxl/patch_dictionary_internal.h" + +namespace jxl { + +static constexpr size_t kPatchFrameReferenceId = 3; + +// static +void PatchDictionaryEncoder::Encode(const PatchDictionary& pdic, + BitWriter* writer, size_t layer, + AuxOut* aux_out) { + JXL_ASSERT(pdic.HasAny()); + std::vector<std::vector<Token>> tokens(1); + size_t num_ec = pdic.shared_->metadata->m.num_extra_channels; + + auto add_num = [&](int context, size_t num) { + tokens[0].emplace_back(context, num); + }; + size_t num_ref_patch = 0; + for (size_t i = 0; i < pdic.positions_.size();) { + size_t ref_pos_idx = pdic.positions_[i].ref_pos_idx; + while (i < pdic.positions_.size() && + pdic.positions_[i].ref_pos_idx == ref_pos_idx) { + i++; + } + num_ref_patch++; + } + add_num(kNumRefPatchContext, num_ref_patch); + size_t blend_pos = 0; + for (size_t i = 0; i < pdic.positions_.size();) { + size_t i_start = i; + size_t ref_pos_idx = pdic.positions_[i].ref_pos_idx; + const auto& ref_pos = pdic.ref_positions_[ref_pos_idx]; + while (i < pdic.positions_.size() && + pdic.positions_[i].ref_pos_idx == ref_pos_idx) { + i++; + } + size_t num = i - i_start; + JXL_ASSERT(num > 0); + add_num(kReferenceFrameContext, ref_pos.ref); + add_num(kPatchReferencePositionContext, ref_pos.x0); + add_num(kPatchReferencePositionContext, ref_pos.y0); + add_num(kPatchSizeContext, ref_pos.xsize - 1); + add_num(kPatchSizeContext, ref_pos.ysize - 1); + add_num(kPatchCountContext, num - 1); + for (size_t j = i_start; j < i; j++) { + const PatchPosition& pos = pdic.positions_[j]; + if (j == i_start) { + add_num(kPatchPositionContext, pos.x); + add_num(kPatchPositionContext, pos.y); + } else { + add_num(kPatchOffsetContext, + PackSigned(pos.x - pdic.positions_[j - 1].x)); + add_num(kPatchOffsetContext, + PackSigned(pos.y - pdic.positions_[j - 1].y)); + } + for (size_t j = 0; j < num_ec + 1; ++j, ++blend_pos) { + const PatchBlending& info = pdic.blendings_[blend_pos]; + add_num(kPatchBlendModeContext, static_cast<uint32_t>(info.mode)); + if (UsesAlpha(info.mode) && + pdic.shared_->metadata->m.extra_channel_info.size() > 1) { + add_num(kPatchAlphaChannelContext, info.alpha_channel); + } + if (UsesClamp(info.mode)) { + add_num(kPatchClampContext, info.clamp); + } + } + } + } + + EntropyEncodingData codes; + std::vector<uint8_t> context_map; + BuildAndEncodeHistograms(HistogramParams(), kNumPatchDictionaryContexts, + tokens, &codes, &context_map, writer, layer, + aux_out); + WriteTokens(tokens[0], codes, context_map, writer, layer, aux_out); +} + +// static +void PatchDictionaryEncoder::SubtractFrom(const PatchDictionary& pdic, + Image3F* opsin) { + size_t num_ec = pdic.shared_->metadata->m.num_extra_channels; + // TODO(veluca): this can likely be optimized knowing it runs on full images. + for (size_t y = 0; y < opsin->ysize(); y++) { + float* JXL_RESTRICT rows[3] = { + opsin->PlaneRow(0, y), + opsin->PlaneRow(1, y), + opsin->PlaneRow(2, y), + }; + for (size_t pos_idx : pdic.GetPatchesForRow(y)) { + const size_t blending_idx = pos_idx * (num_ec + 1); + const PatchPosition& pos = pdic.positions_[pos_idx]; + const PatchReferencePosition& ref_pos = + pdic.ref_positions_[pos.ref_pos_idx]; + const PatchBlendMode mode = pdic.blendings_[blending_idx].mode; + size_t by = pos.y; + size_t bx = pos.x; + size_t xsize = ref_pos.xsize; + JXL_DASSERT(y >= by); + JXL_DASSERT(y < by + ref_pos.ysize); + size_t iy = y - by; + size_t ref = ref_pos.ref; + const float* JXL_RESTRICT ref_rows[3] = { + pdic.shared_->reference_frames[ref].frame.color().ConstPlaneRow( + 0, ref_pos.y0 + iy) + + ref_pos.x0, + pdic.shared_->reference_frames[ref].frame.color().ConstPlaneRow( + 1, ref_pos.y0 + iy) + + ref_pos.x0, + pdic.shared_->reference_frames[ref].frame.color().ConstPlaneRow( + 2, ref_pos.y0 + iy) + + ref_pos.x0, + }; + for (size_t ix = 0; ix < xsize; ix++) { + for (size_t c = 0; c < 3; c++) { + if (mode == PatchBlendMode::kAdd) { + rows[c][bx + ix] -= ref_rows[c][ix]; + } else if (mode == PatchBlendMode::kReplace) { + rows[c][bx + ix] = 0; + } else if (mode == PatchBlendMode::kNone) { + // Nothing to do. + } else { + JXL_ABORT("Blending mode %u not yet implemented", (uint32_t)mode); + } + } + } + } + } +} + +namespace { + +struct PatchColorspaceInfo { + float kChannelDequant[3]; + float kChannelWeights[3]; + + explicit PatchColorspaceInfo(bool is_xyb) { + if (is_xyb) { + kChannelDequant[0] = 0.01615; + kChannelDequant[1] = 0.08875; + kChannelDequant[2] = 0.1922; + kChannelWeights[0] = 30.0; + kChannelWeights[1] = 3.0; + kChannelWeights[2] = 1.0; + } else { + kChannelDequant[0] = 20.0f / 255; + kChannelDequant[1] = 22.0f / 255; + kChannelDequant[2] = 20.0f / 255; + kChannelWeights[0] = 0.017 * 255; + kChannelWeights[1] = 0.02 * 255; + kChannelWeights[2] = 0.017 * 255; + } + } + + float ScaleForQuantization(float val, size_t c) { + return val / kChannelDequant[c]; + } + + int Quantize(float val, size_t c) { + return truncf(ScaleForQuantization(val, c)); + } + + bool is_similar_v(const float v1[3], const float v2[3], float threshold) { + float distance = 0; + for (size_t c = 0; c < 3; c++) { + distance += std::fabs(v1[c] - v2[c]) * kChannelWeights[c]; + } + return distance <= threshold; + } +}; + +std::vector<PatchInfo> FindTextLikePatches( + const Image3F& opsin, const PassesEncoderState* JXL_RESTRICT state, + ThreadPool* pool, AuxOut* aux_out, bool is_xyb) { + if (state->cparams.patches == Override::kOff) return {}; + + PatchColorspaceInfo pci(is_xyb); + float kSimilarThreshold = 0.8f; + + auto is_similar_impl = [&pci](std::pair<uint32_t, uint32_t> p1, + std::pair<uint32_t, uint32_t> p2, + const float* JXL_RESTRICT rows[3], + size_t stride, float threshold) { + float v1[3], v2[3]; + for (size_t c = 0; c < 3; c++) { + v1[c] = rows[c][p1.second * stride + p1.first]; + v2[c] = rows[c][p2.second * stride + p2.first]; + } + return pci.is_similar_v(v1, v2, threshold); + }; + + std::atomic<bool> has_screenshot_areas{false}; + const size_t opsin_stride = opsin.PixelsPerRow(); + const float* JXL_RESTRICT opsin_rows[3] = {opsin.ConstPlaneRow(0, 0), + opsin.ConstPlaneRow(1, 0), + opsin.ConstPlaneRow(2, 0)}; + + auto is_same = [&opsin_rows, opsin_stride](std::pair<uint32_t, uint32_t> p1, + std::pair<uint32_t, uint32_t> p2) { + for (size_t c = 0; c < 3; c++) { + float v1 = opsin_rows[c][p1.second * opsin_stride + p1.first]; + float v2 = opsin_rows[c][p2.second * opsin_stride + p2.first]; + if (std::fabs(v1 - v2) > 1e-4) { + return false; + } + } + return true; + }; + + auto is_similar = [&](std::pair<uint32_t, uint32_t> p1, + std::pair<uint32_t, uint32_t> p2) { + return is_similar_impl(p1, p2, opsin_rows, opsin_stride, kSimilarThreshold); + }; + + constexpr int64_t kPatchSide = 4; + constexpr int64_t kExtraSide = 4; + + // Look for kPatchSide size squares, naturally aligned, that all have the same + // pixel values. + ImageB is_screenshot_like(DivCeil(opsin.xsize(), kPatchSide), + DivCeil(opsin.ysize(), kPatchSide)); + ZeroFillImage(&is_screenshot_like); + uint8_t* JXL_RESTRICT screenshot_row = is_screenshot_like.Row(0); + const size_t screenshot_stride = is_screenshot_like.PixelsPerRow(); + const auto process_row = [&](const uint32_t y, size_t /* thread */) { + for (uint64_t x = 0; x < opsin.xsize() / kPatchSide; x++) { + bool all_same = true; + for (size_t iy = 0; iy < static_cast<size_t>(kPatchSide); iy++) { + for (size_t ix = 0; ix < static_cast<size_t>(kPatchSide); ix++) { + size_t cx = x * kPatchSide + ix; + size_t cy = y * kPatchSide + iy; + if (!is_same({cx, cy}, {x * kPatchSide, y * kPatchSide})) { + all_same = false; + break; + } + } + } + if (!all_same) continue; + size_t num = 0; + size_t num_same = 0; + for (int64_t iy = -kExtraSide; iy < kExtraSide + kPatchSide; iy++) { + for (int64_t ix = -kExtraSide; ix < kExtraSide + kPatchSide; ix++) { + int64_t cx = x * kPatchSide + ix; + int64_t cy = y * kPatchSide + iy; + if (cx < 0 || static_cast<uint64_t>(cx) >= opsin.xsize() || // + cy < 0 || static_cast<uint64_t>(cy) >= opsin.ysize()) { + continue; + } + num++; + if (is_same({cx, cy}, {x * kPatchSide, y * kPatchSide})) num_same++; + } + } + // Too few equal pixels nearby. + if (num_same * 8 < num * 7) continue; + screenshot_row[y * screenshot_stride + x] = 1; + has_screenshot_areas = true; + } + }; + JXL_CHECK(RunOnPool(pool, 0, opsin.ysize() / kPatchSide, ThreadPool::NoInit, + process_row, "IsScreenshotLike")); + + // TODO(veluca): also parallelize the rest of this function. + if (WantDebugOutput(aux_out)) { + aux_out->DumpPlaneNormalized("screenshot_like", is_screenshot_like); + } + + constexpr int kSearchRadius = 1; + + if (!ApplyOverride(state->cparams.patches, has_screenshot_areas)) { + return {}; + } + + // Search for "similar enough" pixels near the screenshot-like areas. + ImageB is_background(opsin.xsize(), opsin.ysize()); + ZeroFillImage(&is_background); + Image3F background(opsin.xsize(), opsin.ysize()); + ZeroFillImage(&background); + constexpr size_t kDistanceLimit = 50; + float* JXL_RESTRICT background_rows[3] = { + background.PlaneRow(0, 0), + background.PlaneRow(1, 0), + background.PlaneRow(2, 0), + }; + const size_t background_stride = background.PixelsPerRow(); + uint8_t* JXL_RESTRICT is_background_row = is_background.Row(0); + const size_t is_background_stride = is_background.PixelsPerRow(); + std::vector< + std::pair<std::pair<uint32_t, uint32_t>, std::pair<uint32_t, uint32_t>>> + queue; + size_t queue_front = 0; + for (size_t y = 0; y < opsin.ysize(); y++) { + for (size_t x = 0; x < opsin.xsize(); x++) { + if (!screenshot_row[screenshot_stride * (y / kPatchSide) + + (x / kPatchSide)]) + continue; + queue.push_back({{x, y}, {x, y}}); + } + } + while (queue.size() != queue_front) { + std::pair<uint32_t, uint32_t> cur = queue[queue_front].first; + std::pair<uint32_t, uint32_t> src = queue[queue_front].second; + queue_front++; + if (is_background_row[cur.second * is_background_stride + cur.first]) + continue; + is_background_row[cur.second * is_background_stride + cur.first] = 1; + for (size_t c = 0; c < 3; c++) { + background_rows[c][cur.second * background_stride + cur.first] = + opsin_rows[c][src.second * opsin_stride + src.first]; + } + for (int dx = -kSearchRadius; dx <= kSearchRadius; dx++) { + for (int dy = -kSearchRadius; dy <= kSearchRadius; dy++) { + if (dx == 0 && dy == 0) continue; + int next_first = cur.first + dx; + int next_second = cur.second + dy; + if (next_first < 0 || next_second < 0 || + static_cast<uint32_t>(next_first) >= opsin.xsize() || + static_cast<uint32_t>(next_second) >= opsin.ysize()) { + continue; + } + if (static_cast<uint32_t>( + std::abs(next_first - static_cast<int>(src.first)) + + std::abs(next_second - static_cast<int>(src.second))) > + kDistanceLimit) { + continue; + } + std::pair<uint32_t, uint32_t> next{next_first, next_second}; + if (is_similar(src, next)) { + if (!screenshot_row[next.second / kPatchSide * screenshot_stride + + next.first / kPatchSide] || + is_same(src, next)) { + if (!is_background_row[next.second * is_background_stride + + next.first]) + queue.emplace_back(next, src); + } + } + } + } + } + queue.clear(); + + ImageF ccs; + Rng rng(0); + bool paint_ccs = false; + if (WantDebugOutput(aux_out)) { + aux_out->DumpPlaneNormalized("is_background", is_background); + if (is_xyb) { + aux_out->DumpXybImage("background", background); + } else { + aux_out->DumpImage("background", background); + } + ccs = ImageF(opsin.xsize(), opsin.ysize()); + ZeroFillImage(&ccs); + paint_ccs = true; + } + + constexpr float kVerySimilarThreshold = 0.03f; + constexpr float kHasSimilarThreshold = 0.03f; + + const float* JXL_RESTRICT const_background_rows[3] = { + background_rows[0], background_rows[1], background_rows[2]}; + auto is_similar_b = [&](std::pair<int, int> p1, std::pair<int, int> p2) { + return is_similar_impl(p1, p2, const_background_rows, background_stride, + kVerySimilarThreshold); + }; + + constexpr int kMinPeak = 2; + constexpr int kHasSimilarRadius = 2; + + std::vector<PatchInfo> info; + + // Find small CC outside the "similar enough" areas, compute bounding boxes, + // and run heuristics to exclude some patches. + ImageB visited(opsin.xsize(), opsin.ysize()); + ZeroFillImage(&visited); + uint8_t* JXL_RESTRICT visited_row = visited.Row(0); + const size_t visited_stride = visited.PixelsPerRow(); + std::vector<std::pair<uint32_t, uint32_t>> cc; + std::vector<std::pair<uint32_t, uint32_t>> stack; + for (size_t y = 0; y < opsin.ysize(); y++) { + for (size_t x = 0; x < opsin.xsize(); x++) { + if (is_background_row[y * is_background_stride + x]) continue; + cc.clear(); + stack.clear(); + stack.emplace_back(x, y); + size_t min_x = x; + size_t max_x = x; + size_t min_y = y; + size_t max_y = y; + std::pair<uint32_t, uint32_t> reference; + bool found_border = false; + bool all_similar = true; + while (!stack.empty()) { + std::pair<uint32_t, uint32_t> cur = stack.back(); + stack.pop_back(); + if (visited_row[cur.second * visited_stride + cur.first]) continue; + visited_row[cur.second * visited_stride + cur.first] = 1; + if (cur.first < min_x) min_x = cur.first; + if (cur.first > max_x) max_x = cur.first; + if (cur.second < min_y) min_y = cur.second; + if (cur.second > max_y) max_y = cur.second; + if (paint_ccs) { + cc.push_back(cur); + } + for (int dx = -kSearchRadius; dx <= kSearchRadius; dx++) { + for (int dy = -kSearchRadius; dy <= kSearchRadius; dy++) { + if (dx == 0 && dy == 0) continue; + int next_first = static_cast<int32_t>(cur.first) + dx; + int next_second = static_cast<int32_t>(cur.second) + dy; + if (next_first < 0 || next_second < 0 || + static_cast<uint32_t>(next_first) >= opsin.xsize() || + static_cast<uint32_t>(next_second) >= opsin.ysize()) { + continue; + } + std::pair<uint32_t, uint32_t> next{next_first, next_second}; + if (!is_background_row[next.second * is_background_stride + + next.first]) { + stack.push_back(next); + } else { + if (!found_border) { + reference = next; + found_border = true; + } else { + if (!is_similar_b(next, reference)) all_similar = false; + } + } + } + } + } + if (!found_border || !all_similar || max_x - min_x >= kMaxPatchSize || + max_y - min_y >= kMaxPatchSize) { + continue; + } + size_t bpos = background_stride * reference.second + reference.first; + float ref[3] = {background_rows[0][bpos], background_rows[1][bpos], + background_rows[2][bpos]}; + bool has_similar = false; + for (size_t iy = std::max<int>( + static_cast<int32_t>(min_y) - kHasSimilarRadius, 0); + iy < std::min(max_y + kHasSimilarRadius + 1, opsin.ysize()); iy++) { + for (size_t ix = std::max<int>( + static_cast<int32_t>(min_x) - kHasSimilarRadius, 0); + ix < std::min(max_x + kHasSimilarRadius + 1, opsin.xsize()); + ix++) { + size_t opos = opsin_stride * iy + ix; + float px[3] = {opsin_rows[0][opos], opsin_rows[1][opos], + opsin_rows[2][opos]}; + if (pci.is_similar_v(ref, px, kHasSimilarThreshold)) { + has_similar = true; + } + } + } + if (!has_similar) continue; + info.emplace_back(); + info.back().second.emplace_back(min_x, min_y); + QuantizedPatch& patch = info.back().first; + patch.xsize = max_x - min_x + 1; + patch.ysize = max_y - min_y + 1; + int max_value = 0; + for (size_t c : {1, 0, 2}) { + for (size_t iy = min_y; iy <= max_y; iy++) { + for (size_t ix = min_x; ix <= max_x; ix++) { + size_t offset = (iy - min_y) * patch.xsize + ix - min_x; + patch.fpixels[c][offset] = + opsin_rows[c][iy * opsin_stride + ix] - ref[c]; + int val = pci.Quantize(patch.fpixels[c][offset], c); + patch.pixels[c][offset] = val; + if (std::abs(val) > max_value) max_value = std::abs(val); + } + } + } + if (max_value < kMinPeak) { + info.pop_back(); + continue; + } + if (paint_ccs) { + float cc_color = rng.UniformF(0.5, 1.0); + for (std::pair<uint32_t, uint32_t> p : cc) { + ccs.Row(p.second)[p.first] = cc_color; + } + } + } + } + + if (paint_ccs) { + JXL_ASSERT(WantDebugOutput(aux_out)); + aux_out->DumpPlaneNormalized("ccs", ccs); + } + if (info.empty()) { + return {}; + } + + // Remove duplicates. + constexpr size_t kMinPatchOccurrences = 2; + std::sort(info.begin(), info.end()); + size_t unique = 0; + for (size_t i = 1; i < info.size(); i++) { + if (info[i].first == info[unique].first) { + info[unique].second.insert(info[unique].second.end(), + info[i].second.begin(), info[i].second.end()); + } else { + if (info[unique].second.size() >= kMinPatchOccurrences) { + unique++; + } + info[unique] = info[i]; + } + } + if (info[unique].second.size() >= kMinPatchOccurrences) { + unique++; + } + info.resize(unique); + + size_t max_patch_size = 0; + + for (size_t i = 0; i < info.size(); i++) { + size_t pixels = info[i].first.xsize * info[i].first.ysize; + if (pixels > max_patch_size) max_patch_size = pixels; + } + + // don't use patches if all patches are smaller than this + constexpr size_t kMinMaxPatchSize = 20; + if (max_patch_size < kMinMaxPatchSize) return {}; + + return info; +} + +} // namespace + +void FindBestPatchDictionary(const Image3F& opsin, + PassesEncoderState* JXL_RESTRICT state, + const JxlCmsInterface& cms, ThreadPool* pool, + AuxOut* aux_out, bool is_xyb) { + std::vector<PatchInfo> info = + FindTextLikePatches(opsin, state, pool, aux_out, is_xyb); + + // TODO(veluca): this doesn't work if both dots and patches are enabled. + // For now, since dots and patches are not likely to occur in the same kind of + // images, disable dots if some patches were found. + if (info.empty() && + ApplyOverride( + state->cparams.dots, + state->cparams.speed_tier <= SpeedTier::kSquirrel && + state->cparams.butteraugli_distance >= kMinButteraugliForDots)) { + info = FindDotDictionary(state->cparams, opsin, state->shared.cmap, pool); + } + + if (info.empty()) return; + + std::sort( + info.begin(), info.end(), [&](const PatchInfo& a, const PatchInfo& b) { + return a.first.xsize * a.first.ysize > b.first.xsize * b.first.ysize; + }); + + size_t max_x_size = 0; + size_t max_y_size = 0; + size_t total_pixels = 0; + + for (size_t i = 0; i < info.size(); i++) { + size_t pixels = info[i].first.xsize * info[i].first.ysize; + if (max_x_size < info[i].first.xsize) max_x_size = info[i].first.xsize; + if (max_y_size < info[i].first.ysize) max_y_size = info[i].first.ysize; + total_pixels += pixels; + } + + // Bin-packing & conversion of patches. + constexpr float kBinPackingSlackness = 1.05f; + size_t ref_xsize = std::max<float>(max_x_size, std::sqrt(total_pixels)); + size_t ref_ysize = std::max<float>(max_y_size, std::sqrt(total_pixels)); + std::vector<std::pair<size_t, size_t>> ref_positions(info.size()); + // TODO(veluca): allow partial overlaps of patches that have the same pixels. + size_t max_y = 0; + do { + max_y = 0; + // Increase packed image size. + ref_xsize = ref_xsize * kBinPackingSlackness + 1; + ref_ysize = ref_ysize * kBinPackingSlackness + 1; + + ImageB occupied(ref_xsize, ref_ysize); + ZeroFillImage(&occupied); + uint8_t* JXL_RESTRICT occupied_rows = occupied.Row(0); + size_t occupied_stride = occupied.PixelsPerRow(); + + bool success = true; + // For every patch... + for (size_t patch = 0; patch < info.size(); patch++) { + size_t x0 = 0; + size_t y0 = 0; + size_t xsize = info[patch].first.xsize; + size_t ysize = info[patch].first.ysize; + bool found = false; + // For every possible start position ... + for (; y0 + ysize <= ref_ysize; y0++) { + x0 = 0; + for (; x0 + xsize <= ref_xsize; x0++) { + bool has_occupied_pixel = false; + size_t x = x0; + // Check if it is possible to place the patch in this position in the + // reference frame. + for (size_t y = y0; y < y0 + ysize; y++) { + x = x0; + for (; x < x0 + xsize; x++) { + if (occupied_rows[y * occupied_stride + x]) { + has_occupied_pixel = true; + break; + } + } + } // end of positioning check + if (!has_occupied_pixel) { + found = true; + break; + } + x0 = x; // Jump to next pixel after the occupied one. + } + if (found) break; + } // end of start position checking + + // We didn't find a possible position: repeat from the beginning with a + // larger reference frame size. + if (!found) { + success = false; + break; + } + + // We found a position: mark the corresponding positions in the reference + // image as used. + ref_positions[patch] = {x0, y0}; + for (size_t y = y0; y < y0 + ysize; y++) { + for (size_t x = x0; x < x0 + xsize; x++) { + occupied_rows[y * occupied_stride + x] = true; + } + } + max_y = std::max(max_y, y0 + ysize); + } + + if (success) break; + } while (true); + + JXL_ASSERT(ref_ysize >= max_y); + + ref_ysize = max_y; + + Image3F reference_frame(ref_xsize, ref_ysize); + // TODO(veluca): figure out a better way to fill the image. + ZeroFillImage(&reference_frame); + std::vector<PatchPosition> positions; + std::vector<PatchReferencePosition> pref_positions; + std::vector<PatchBlending> blendings; + float* JXL_RESTRICT ref_rows[3] = { + reference_frame.PlaneRow(0, 0), + reference_frame.PlaneRow(1, 0), + reference_frame.PlaneRow(2, 0), + }; + size_t ref_stride = reference_frame.PixelsPerRow(); + size_t num_ec = state->shared.metadata->m.num_extra_channels; + + for (size_t i = 0; i < info.size(); i++) { + PatchReferencePosition ref_pos; + ref_pos.xsize = info[i].first.xsize; + ref_pos.ysize = info[i].first.ysize; + ref_pos.x0 = ref_positions[i].first; + ref_pos.y0 = ref_positions[i].second; + ref_pos.ref = kPatchFrameReferenceId; + for (size_t y = 0; y < ref_pos.ysize; y++) { + for (size_t x = 0; x < ref_pos.xsize; x++) { + for (size_t c = 0; c < 3; c++) { + ref_rows[c][(y + ref_pos.y0) * ref_stride + x + ref_pos.x0] = + info[i].first.fpixels[c][y * ref_pos.xsize + x]; + } + } + } + for (const auto& pos : info[i].second) { + positions.emplace_back( + PatchPosition{pos.first, pos.second, pref_positions.size()}); + // Add blending for color channels, ignore other channels. + blendings.push_back({PatchBlendMode::kAdd, 0, false}); + for (size_t j = 0; j < num_ec; ++j) { + blendings.push_back({PatchBlendMode::kNone, 0, false}); + } + } + pref_positions.emplace_back(std::move(ref_pos)); + } + + CompressParams cparams = state->cparams; + // Recursive application of patches could create very weird issues. + cparams.patches = Override::kOff; + + RoundtripPatchFrame(&reference_frame, state, kPatchFrameReferenceId, cparams, + cms, pool, aux_out, /*subtract=*/true); + + // TODO(veluca): this assumes that applying patches is commutative, which is + // not true for all blending modes. This code only produces kAdd patches, so + // this works out. + PatchDictionaryEncoder::SetPositions( + &state->shared.image_features.patches, std::move(positions), + std::move(pref_positions), std::move(blendings)); +} + +void RoundtripPatchFrame(Image3F* reference_frame, + PassesEncoderState* JXL_RESTRICT state, int idx, + CompressParams& cparams, const JxlCmsInterface& cms, + ThreadPool* pool, AuxOut* aux_out, bool subtract) { + FrameInfo patch_frame_info; + cparams.resampling = 1; + cparams.ec_resampling = 1; + cparams.dots = Override::kOff; + cparams.noise = Override::kOff; + cparams.modular_mode = true; + cparams.responsive = 0; + cparams.progressive_dc = 0; + cparams.progressive_mode = false; + cparams.qprogressive_mode = false; + // Use gradient predictor and not Predictor::Best. + cparams.options.predictor = Predictor::Gradient; + patch_frame_info.save_as_reference = idx; // always saved. + patch_frame_info.frame_type = FrameType::kReferenceOnly; + patch_frame_info.save_before_color_transform = true; + ImageBundle ib(&state->shared.metadata->m); + // TODO(veluca): metadata.color_encoding is a lie: ib is in XYB, but there is + // no simple way to express that yet. + patch_frame_info.ib_needs_color_transform = false; + ib.SetFromImage(std::move(*reference_frame), + state->shared.metadata->m.color_encoding); + if (!ib.metadata()->extra_channel_info.empty()) { + // Add dummy extra channels to the patch image: patch encoding does not yet + // support extra channels, but the codec expects that the amount of extra + // channels in frames matches that in the metadata of the codestream. + std::vector<ImageF> extra_channels; + extra_channels.reserve(ib.metadata()->extra_channel_info.size()); + for (size_t i = 0; i < ib.metadata()->extra_channel_info.size(); i++) { + extra_channels.emplace_back(ib.xsize(), ib.ysize()); + // Must initialize the image with data to not affect blending with + // uninitialized memory. + // TODO(lode): patches must copy and use the real extra channels instead. + ZeroFillImage(&extra_channels.back()); + } + ib.SetExtraChannels(std::move(extra_channels)); + } + PassesEncoderState roundtrip_state; + auto special_frame = std::unique_ptr<BitWriter>(new BitWriter()); + AuxOut patch_aux_out; + JXL_CHECK(EncodeFrame(cparams, patch_frame_info, state->shared.metadata, ib, + &roundtrip_state, cms, pool, special_frame.get(), + aux_out ? &patch_aux_out : nullptr)); + if (aux_out) { + for (const auto& l : patch_aux_out.layers) { + aux_out->layers[kLayerDictionary].Assimilate(l); + } + } + const Span<const uint8_t> encoded = special_frame->GetSpan(); + state->special_frames.emplace_back(std::move(special_frame)); + if (subtract) { + ImageBundle decoded(&state->shared.metadata->m); + PassesDecoderState dec_state; + JXL_CHECK(dec_state.output_encoding_info.SetFromMetadata( + *state->shared.metadata)); + const uint8_t* frame_start = encoded.data(); + size_t encoded_size = encoded.size(); + JXL_CHECK(DecodeFrame(&dec_state, pool, frame_start, encoded_size, &decoded, + *state->shared.metadata)); + frame_start += decoded.decoded_bytes(); + encoded_size -= decoded.decoded_bytes(); + size_t ref_xsize = + dec_state.shared_storage.reference_frames[idx].frame.color()->xsize(); + // if the frame itself uses patches, we need to decode another frame + if (!ref_xsize) { + JXL_CHECK(DecodeFrame(&dec_state, pool, frame_start, encoded_size, + &decoded, *state->shared.metadata)); + } + JXL_CHECK(encoded_size == 0); + state->shared.reference_frames[idx] = + std::move(dec_state.shared_storage.reference_frames[idx]); + } else { + state->shared.reference_frames[idx].frame = std::move(ib); + } +} + +} // namespace jxl |