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// 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.
#ifndef LIB_JXL_IMAGE_H_
#define LIB_JXL_IMAGE_H_
// SIMD/multicore-friendly planar image representation with row accessors.
#include <inttypes.h>
#include <stddef.h>
#include <stdint.h>
#include <string.h>
#include <algorithm>
#include <utility> // std::move
#include "lib/jxl/base/cache_aligned.h"
#include "lib/jxl/base/compiler_specific.h"
#include "lib/jxl/base/status.h"
#include "lib/jxl/common.h"
namespace jxl {
// Type-independent parts of Plane<> - reduces code duplication and facilitates
// moving member function implementations to cc file.
struct PlaneBase {
PlaneBase()
: xsize_(0),
ysize_(0),
orig_xsize_(0),
orig_ysize_(0),
bytes_per_row_(0),
bytes_(nullptr) {}
PlaneBase(size_t xsize, size_t ysize, size_t sizeof_t);
// Copy construction/assignment is forbidden to avoid inadvertent copies,
// which can be very expensive. Use CopyImageTo() instead.
PlaneBase(const PlaneBase& other) = delete;
PlaneBase& operator=(const PlaneBase& other) = delete;
// Move constructor (required for returning Image from function)
PlaneBase(PlaneBase&& other) noexcept = default;
// Move assignment (required for std::vector)
PlaneBase& operator=(PlaneBase&& other) noexcept = default;
void Swap(PlaneBase& other);
// Useful for pre-allocating image with some padding for alignment purposes
// and later reporting the actual valid dimensions. May also be used to
// un-shrink the image. Caller is responsible for ensuring xsize/ysize are <=
// the original dimensions.
void ShrinkTo(const size_t xsize, const size_t ysize) {
JXL_CHECK(xsize <= orig_xsize_);
JXL_CHECK(ysize <= orig_ysize_);
xsize_ = static_cast<uint32_t>(xsize);
ysize_ = static_cast<uint32_t>(ysize);
// NOTE: we can't recompute bytes_per_row for more compact storage and
// better locality because that would invalidate the image contents.
}
// How many pixels.
JXL_INLINE size_t xsize() const { return xsize_; }
JXL_INLINE size_t ysize() const { return ysize_; }
// NOTE: do not use this for copying rows - the valid xsize may be much less.
JXL_INLINE size_t bytes_per_row() const { return bytes_per_row_; }
// Raw access to byte contents, for interfacing with other libraries.
// Unsigned char instead of char to avoid surprises (sign extension).
JXL_INLINE uint8_t* bytes() {
void* p = bytes_.get();
return static_cast<uint8_t * JXL_RESTRICT>(JXL_ASSUME_ALIGNED(p, 64));
}
JXL_INLINE const uint8_t* bytes() const {
const void* p = bytes_.get();
return static_cast<const uint8_t * JXL_RESTRICT>(JXL_ASSUME_ALIGNED(p, 64));
}
protected:
// Returns pointer to the start of a row.
JXL_INLINE void* VoidRow(const size_t y) const {
#if defined(ADDRESS_SANITIZER) || defined(MEMORY_SANITIZER) || \
defined(THREAD_SANITIZER)
if (y >= ysize_) {
JXL_ABORT("Row(%" PRIu64 ") in (%u x %u) image\n", (uint64_t)y, xsize_,
ysize_);
}
#endif
void* row = bytes_.get() + y * bytes_per_row_;
return JXL_ASSUME_ALIGNED(row, 64);
}
enum class Padding {
// Allow Load(d, row + x) for x = 0; x < xsize(); x += Lanes(d). Default.
kRoundUp,
// Allow LoadU(d, row + x) for x = xsize() - 1. This requires an extra
// vector to be initialized. If done by default, this would suppress
// legitimate msan warnings. We therefore require users to explicitly call
// InitializePadding before using unaligned loads (e.g. convolution).
kUnaligned
};
// Initializes the minimum bytes required to suppress msan warnings from
// legitimate (according to Padding mode) vector loads/stores on the right
// border, where some lanes are uninitialized and assumed to be unused.
void InitializePadding(size_t sizeof_t, Padding padding);
// (Members are non-const to enable assignment during move-assignment.)
uint32_t xsize_; // In valid pixels, not including any padding.
uint32_t ysize_;
uint32_t orig_xsize_;
uint32_t orig_ysize_;
size_t bytes_per_row_; // Includes padding.
CacheAlignedUniquePtr bytes_;
};
// Single channel, aligned rows separated by padding. T must be POD.
//
// 'Single channel' (one 2D array per channel) simplifies vectorization
// (repeating the same operation on multiple adjacent components) without the
// complexity of a hybrid layout (8 R, 8 G, 8 B, ...). In particular, clients
// can easily iterate over all components in a row and Image requires no
// knowledge of the pixel format beyond the component type "T".
//
// 'Aligned' means each row is aligned to the L1 cache line size. This prevents
// false sharing between two threads operating on adjacent rows.
//
// 'Padding' is still relevant because vectors could potentially be larger than
// a cache line. By rounding up row sizes to the vector size, we allow
// reading/writing ALIGNED vectors whose first lane is a valid sample. This
// avoids needing a separate loop to handle remaining unaligned lanes.
//
// This image layout could also be achieved with a vector and a row accessor
// function, but a class wrapper with support for "deleter" allows wrapping
// existing memory allocated by clients without copying the pixels. It also
// provides convenient accessors for xsize/ysize, which shortens function
// argument lists. Supports move-construction so it can be stored in containers.
template <typename ComponentType>
class Plane : public PlaneBase {
public:
using T = ComponentType;
static constexpr size_t kNumPlanes = 1;
Plane() = default;
Plane(const size_t xsize, const size_t ysize)
: PlaneBase(xsize, ysize, sizeof(T)) {}
void InitializePaddingForUnalignedAccesses() {
InitializePadding(sizeof(T), Padding::kUnaligned);
}
JXL_INLINE T* Row(const size_t y) { return static_cast<T*>(VoidRow(y)); }
// Returns pointer to const (see above).
JXL_INLINE const T* Row(const size_t y) const {
return static_cast<const T*>(VoidRow(y));
}
// Documents that the access is const.
JXL_INLINE const T* ConstRow(const size_t y) const {
return static_cast<const T*>(VoidRow(y));
}
// Returns number of pixels (some of which are padding) per row. Useful for
// computing other rows via pointer arithmetic. WARNING: this must
// NOT be used to determine xsize.
JXL_INLINE intptr_t PixelsPerRow() const {
return static_cast<intptr_t>(bytes_per_row_ / sizeof(T));
}
};
using ImageSB = Plane<int8_t>;
using ImageB = Plane<uint8_t>;
using ImageS = Plane<int16_t>; // signed integer or half-float
using ImageU = Plane<uint16_t>;
using ImageI = Plane<int32_t>;
using ImageF = Plane<float>;
using ImageD = Plane<double>;
// Also works for Image3 and mixed argument types.
template <class Image1, class Image2>
bool SameSize(const Image1& image1, const Image2& image2) {
return image1.xsize() == image2.xsize() && image1.ysize() == image2.ysize();
}
template <typename T>
class Image3;
// Rectangular region in image(s). Factoring this out of Image instead of
// shifting the pointer by x0/y0 allows this to apply to multiple images with
// different resolutions (e.g. color transform and quantization field).
// Can compare using SameSize(rect1, rect2).
template <typename T>
class RectT {
public:
// Most windows are xsize_max * ysize_max, except those on the borders where
// begin + size_max > end.
constexpr RectT(T xbegin, T ybegin, size_t xsize_max, size_t ysize_max,
T xend, T yend)
: x0_(xbegin),
y0_(ybegin),
xsize_(ClampedSize(xbegin, xsize_max, xend)),
ysize_(ClampedSize(ybegin, ysize_max, yend)) {}
// Construct with origin and known size (typically from another Rect).
constexpr RectT(T xbegin, T ybegin, size_t xsize, size_t ysize)
: x0_(xbegin), y0_(ybegin), xsize_(xsize), ysize_(ysize) {}
// Construct a rect that covers a whole image/plane/ImageBundle etc.
template <typename ImageT>
explicit RectT(const ImageT& image)
: RectT(0, 0, image.xsize(), image.ysize()) {}
RectT() : RectT(0, 0, 0, 0) {}
RectT(const RectT&) = default;
RectT& operator=(const RectT&) = default;
// Construct a subrect that resides in an image/plane/ImageBundle etc.
template <typename ImageT>
RectT Crop(const ImageT& image) const {
return Intersection(RectT(image));
}
// Construct a subrect that resides in the [0, ysize) x [0, xsize) region of
// the current rect.
RectT Crop(size_t area_xsize, size_t area_ysize) const {
return Intersection(RectT(0, 0, area_xsize, area_ysize));
}
// Returns a rect that only contains `num` lines with offset `y` from `y0()`.
RectT Lines(size_t y, size_t num) const {
JXL_DASSERT(y + num <= ysize_);
return RectT(x0_, y0_ + y, xsize_, num);
}
RectT Line(size_t y) const { return Lines(y, 1); }
JXL_MUST_USE_RESULT RectT Intersection(const RectT& other) const {
return RectT(std::max(x0_, other.x0_), std::max(y0_, other.y0_), xsize_,
ysize_, std::min(x0_ + xsize_, other.x0_ + other.xsize_),
std::min(y0_ + ysize_, other.y0_ + other.ysize_));
}
JXL_MUST_USE_RESULT RectT Translate(int64_t x_offset,
int64_t y_offset) const {
return RectT(x0_ + x_offset, y0_ + y_offset, xsize_, ysize_);
}
template <typename V>
V* Row(Plane<V>* image, size_t y) const {
JXL_DASSERT(y + y0_ >= 0);
return image->Row(y + y0_) + x0_;
}
template <typename V>
const V* Row(const Plane<V>* image, size_t y) const {
JXL_DASSERT(y + y0_ >= 0);
return image->Row(y + y0_) + x0_;
}
template <typename V>
V* PlaneRow(Image3<V>* image, const size_t c, size_t y) const {
JXL_DASSERT(y + y0_ >= 0);
return image->PlaneRow(c, y + y0_) + x0_;
}
template <typename V>
const V* ConstRow(const Plane<V>& image, size_t y) const {
JXL_DASSERT(y + y0_ >= 0);
return image.ConstRow(y + y0_) + x0_;
}
template <typename V>
const V* ConstPlaneRow(const Image3<V>& image, size_t c, size_t y) const {
JXL_DASSERT(y + y0_ >= 0);
return image.ConstPlaneRow(c, y + y0_) + x0_;
}
bool IsInside(const RectT& other) const {
return x0_ >= other.x0() && x0_ + xsize_ <= other.x0() + other.xsize_ &&
y0_ >= other.y0() && y0_ + ysize_ <= other.y0() + other.ysize();
}
// Returns true if this Rect fully resides in the given image. ImageT could be
// Plane<T> or Image3<T>; however if ImageT is Rect, results are nonsensical.
template <class ImageT>
bool IsInside(const ImageT& image) const {
return IsInside(RectT(image));
}
T x0() const { return x0_; }
T y0() const { return y0_; }
size_t xsize() const { return xsize_; }
size_t ysize() const { return ysize_; }
T x1() const { return x0_ + xsize_; }
T y1() const { return y0_ + ysize_; }
private:
// Returns size_max, or whatever is left in [begin, end).
static constexpr size_t ClampedSize(T begin, size_t size_max, T end) {
return (static_cast<T>(begin + size_max) <= end)
? size_max
: (end > begin ? end - begin : 0);
}
T x0_;
T y0_;
size_t xsize_;
size_t ysize_;
};
using Rect = RectT<size_t>;
// Currently, we abuse Image to either refer to an image that owns its storage
// or one that doesn't. In similar vein, we abuse Image* function parameters to
// either mean "assign to me" or "fill the provided image with data".
// Hopefully, the "assign to me" meaning will go away and most images in the
// codebase will not be backed by own storage. When this happens we can redesign
// Image to be a non-storage-holding view class and introduce BackedImage in
// those places that actually need it.
// NOTE: we can't use Image as a view because invariants are violated
// (alignment and the presence of padding before/after each "row").
// A bundle of 3 same-sized images. Typically constructed by moving from three
// rvalue references to Image. To overwrite an existing Image3 using
// single-channel producers, we also need access to Image*. Constructing
// temporary non-owning Image pointing to one plane of an existing Image3 risks
// dangling references, especially if the wrapper is moved. Therefore, we
// store an array of Image (which are compact enough that size is not a concern)
// and provide Plane+Row accessors.
template <typename ComponentType>
class Image3 {
public:
using T = ComponentType;
using PlaneT = jxl::Plane<T>;
static constexpr size_t kNumPlanes = 3;
Image3() : planes_{PlaneT(), PlaneT(), PlaneT()} {}
Image3(const size_t xsize, const size_t ysize)
: planes_{PlaneT(xsize, ysize), PlaneT(xsize, ysize),
PlaneT(xsize, ysize)} {}
Image3(Image3&& other) noexcept {
for (size_t i = 0; i < kNumPlanes; i++) {
planes_[i] = std::move(other.planes_[i]);
}
}
Image3(PlaneT&& plane0, PlaneT&& plane1, PlaneT&& plane2) {
JXL_CHECK(SameSize(plane0, plane1));
JXL_CHECK(SameSize(plane0, plane2));
planes_[0] = std::move(plane0);
planes_[1] = std::move(plane1);
planes_[2] = std::move(plane2);
}
// Copy construction/assignment is forbidden to avoid inadvertent copies,
// which can be very expensive. Use CopyImageTo instead.
Image3(const Image3& other) = delete;
Image3& operator=(const Image3& other) = delete;
Image3& operator=(Image3&& other) noexcept {
for (size_t i = 0; i < kNumPlanes; i++) {
planes_[i] = std::move(other.planes_[i]);
}
return *this;
}
// Returns row pointer; usage: PlaneRow(idx_plane, y)[x] = val.
JXL_INLINE T* PlaneRow(const size_t c, const size_t y) {
// Custom implementation instead of calling planes_[c].Row ensures only a
// single multiplication is needed for PlaneRow(0..2, y).
PlaneRowBoundsCheck(c, y);
const size_t row_offset = y * planes_[0].bytes_per_row();
void* row = planes_[c].bytes() + row_offset;
return static_cast<T * JXL_RESTRICT>(JXL_ASSUME_ALIGNED(row, 64));
}
// Returns const row pointer; usage: val = PlaneRow(idx_plane, y)[x].
JXL_INLINE const T* PlaneRow(const size_t c, const size_t y) const {
PlaneRowBoundsCheck(c, y);
const size_t row_offset = y * planes_[0].bytes_per_row();
const void* row = planes_[c].bytes() + row_offset;
return static_cast<const T * JXL_RESTRICT>(JXL_ASSUME_ALIGNED(row, 64));
}
// Returns const row pointer, even if called from a non-const Image3.
JXL_INLINE const T* ConstPlaneRow(const size_t c, const size_t y) const {
PlaneRowBoundsCheck(c, y);
return PlaneRow(c, y);
}
JXL_INLINE const PlaneT& Plane(size_t idx) const { return planes_[idx]; }
JXL_INLINE PlaneT& Plane(size_t idx) { return planes_[idx]; }
void Swap(Image3& other) {
for (size_t c = 0; c < 3; ++c) {
other.planes_[c].Swap(planes_[c]);
}
}
// Useful for pre-allocating image with some padding for alignment purposes
// and later reporting the actual valid dimensions. May also be used to
// un-shrink the image. Caller is responsible for ensuring xsize/ysize are <=
// the original dimensions.
void ShrinkTo(const size_t xsize, const size_t ysize) {
for (PlaneT& plane : planes_) {
plane.ShrinkTo(xsize, ysize);
}
}
// Sizes of all three images are guaranteed to be equal.
JXL_INLINE size_t xsize() const { return planes_[0].xsize(); }
JXL_INLINE size_t ysize() const { return planes_[0].ysize(); }
// Returns offset [bytes] from one row to the next row of the same plane.
// WARNING: this must NOT be used to determine xsize, nor for copying rows -
// the valid xsize may be much less.
JXL_INLINE size_t bytes_per_row() const { return planes_[0].bytes_per_row(); }
// Returns number of pixels (some of which are padding) per row. Useful for
// computing other rows via pointer arithmetic. WARNING: this must NOT be used
// to determine xsize.
JXL_INLINE intptr_t PixelsPerRow() const { return planes_[0].PixelsPerRow(); }
private:
void PlaneRowBoundsCheck(const size_t c, const size_t y) const {
#if defined(ADDRESS_SANITIZER) || defined(MEMORY_SANITIZER) || \
defined(THREAD_SANITIZER)
if (c >= kNumPlanes || y >= ysize()) {
JXL_ABORT("PlaneRow(%" PRIu64 ", %" PRIu64 ") in (%" PRIu64 " x %" PRIu64
") image\n",
static_cast<uint64_t>(c), static_cast<uint64_t>(y),
static_cast<uint64_t>(xsize()), static_cast<uint64_t>(ysize()));
}
#endif
}
private:
PlaneT planes_[kNumPlanes];
};
using Image3B = Image3<uint8_t>;
using Image3S = Image3<int16_t>;
using Image3U = Image3<uint16_t>;
using Image3I = Image3<int32_t>;
using Image3F = Image3<float>;
using Image3D = Image3<double>;
} // namespace jxl
#endif // LIB_JXL_IMAGE_H_
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