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author | Matt A. Tobin <mattatobin@localhost.localdomain> | 2018-02-02 04:16:08 -0500 |
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committer | Matt A. Tobin <mattatobin@localhost.localdomain> | 2018-02-02 04:16:08 -0500 |
commit | 5f8de423f190bbb79a62f804151bc24824fa32d8 (patch) | |
tree | 10027f336435511475e392454359edea8e25895d /gfx/2d/image_operations.h | |
parent | 49ee0794b5d912db1f95dce6eb52d781dc210db5 (diff) | |
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Add m-esr52 at 52.6.0
Diffstat (limited to 'gfx/2d/image_operations.h')
-rw-r--r-- | gfx/2d/image_operations.h | 285 |
1 files changed, 285 insertions, 0 deletions
diff --git a/gfx/2d/image_operations.h b/gfx/2d/image_operations.h new file mode 100644 index 000000000..8e3191363 --- /dev/null +++ b/gfx/2d/image_operations.h @@ -0,0 +1,285 @@ +// Copyright (c) 2006-2011 The Chromium Authors. All rights reserved. +// +// Redistribution and use in source and binary forms, with or without +// modification, are permitted provided that the following conditions +// are met: +// * Redistributions of source code must retain the above copyright +// notice, this list of conditions and the following disclaimer. +// * Redistributions in binary form must reproduce the above copyright +// notice, this list of conditions and the following disclaimer in +// the documentation and/or other materials provided with the +// distribution. +// * Neither the name of Google, Inc. nor the names of its contributors +// may be used to endorse or promote products derived from this +// software without specific prior written permission. +// +// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS +// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE +// COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, +// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, +// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS +// OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED +// AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT +// OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF +// SUCH DAMAGE. + +#ifndef SKIA_EXT_IMAGE_OPERATIONS_H_ +#define SKIA_EXT_IMAGE_OPERATIONS_H_ + +#include "skia/include/core/SkTypes.h" +#include "Types.h" +#include "convolver.h" +#include "skia/include/core/SkRect.h" + +class SkBitmap; +struct SkIRect; + +namespace skia { + +class ImageOperations { + public: + enum ResizeMethod { + // + // Quality Methods + // + // Those enumeration values express a desired quality/speed tradeoff. + // They are translated into an algorithm-specific method that depends + // on the capabilities (CPU, GPU) of the underlying platform. + // It is possible for all three methods to be mapped to the same + // algorithm on a given platform. + + // Good quality resizing. Fastest resizing with acceptable visual quality. + // This is typically intended for use during interactive layouts + // where slower platforms may want to trade image quality for large + // increase in resizing performance. + // + // For example the resizing implementation may devolve to linear + // filtering if this enables GPU acceleration to be used. + // + // Note that the underlying resizing method may be determined + // on the fly based on the parameters for a given resize call. + // For example an implementation using a GPU-based linear filter + // in the common case may still use a higher-quality software-based + // filter in cases where using the GPU would actually be slower - due + // to too much latency - or impossible - due to image format or size + // constraints. + RESIZE_GOOD, + + // Medium quality resizing. Close to high quality resizing (better + // than linear interpolation) with potentially some quality being + // traded-off for additional speed compared to RESIZE_BEST. + // + // This is intended, for example, for generation of large thumbnails + // (hundreds of pixels in each dimension) from large sources, where + // a linear filter would produce too many artifacts but where + // a RESIZE_HIGH might be too costly time-wise. + RESIZE_BETTER, + + // High quality resizing. The algorithm is picked to favor image quality. + RESIZE_BEST, + + // + // Algorithm-specific enumerations + // + + // Box filter. This is a weighted average of all of the pixels touching + // the destination pixel. For enlargement, this is nearest neighbor. + // + // You probably don't want this, it is here for testing since it is easy to + // compute. Use RESIZE_LANCZOS3 instead. + RESIZE_BOX, + + // 1-cycle Hamming filter. This is tall is the middle and falls off towards + // the window edges but without going to 0. This is about 40% faster than + // a 2-cycle Lanczos. + RESIZE_HAMMING1, + + // 2-cycle Lanczos filter. This is tall in the middle, goes negative on + // each side, then returns to zero. Does not provide as good a frequency + // response as a 3-cycle Lanczos but is roughly 30% faster. + RESIZE_LANCZOS2, + + // 3-cycle Lanczos filter. This is tall in the middle, goes negative on + // each side, then oscillates 2 more times. It gives nice sharp edges. + RESIZE_LANCZOS3, + + // Lanczos filter + subpixel interpolation. If subpixel rendering is not + // appropriate we automatically fall back to Lanczos. + RESIZE_SUBPIXEL, + + // enum aliases for first and last methods by algorithm or by quality. + RESIZE_FIRST_QUALITY_METHOD = RESIZE_GOOD, + RESIZE_LAST_QUALITY_METHOD = RESIZE_BEST, + RESIZE_FIRST_ALGORITHM_METHOD = RESIZE_BOX, + RESIZE_LAST_ALGORITHM_METHOD = RESIZE_SUBPIXEL, + }; + + // Resizes the given source bitmap using the specified resize method, so that + // the entire image is (dest_size) big. The dest_subset is the rectangle in + // this destination image that should actually be returned. + // + // The output image will be (dest_subset.width(), dest_subset.height()). This + // will save work if you do not need the entire bitmap. + // + // The destination subset must be smaller than the destination image. + static SkBitmap Resize(const SkBitmap& source, + ResizeMethod method, + int dest_width, int dest_height, + const SkIRect& dest_subset, + void* dest_pixels = nullptr); + + // Alternate version for resizing and returning the entire bitmap rather than + // a subset. + static SkBitmap Resize(const SkBitmap& source, + ResizeMethod method, + int dest_width, int dest_height, + void* dest_pixels = nullptr); + + private: + ImageOperations(); // Class for scoping only. + + // Supports all methods except RESIZE_SUBPIXEL. + static SkBitmap ResizeBasic(const SkBitmap& source, + ResizeMethod method, + int dest_width, int dest_height, + const SkIRect& dest_subset, + void* dest_pixels = nullptr); + + // Subpixel renderer. + static SkBitmap ResizeSubpixel(const SkBitmap& source, + int dest_width, int dest_height, + const SkIRect& dest_subset); +}; + +// Returns the ceiling/floor as an integer. +inline int CeilInt(float val) { + return static_cast<int>(ceil(val)); +} +inline int FloorInt(float val) { + return static_cast<int>(floor(val)); +} + +// Filter function computation ------------------------------------------------- + +// Evaluates the box filter, which goes from -0.5 to +0.5. +inline float EvalBox(float x) { + return (x >= -0.5f && x < 0.5f) ? 1.0f : 0.0f; +} + +// Evaluates the Lanczos filter of the given filter size window for the given +// position. +// +// |filter_size| is the width of the filter (the "window"), outside of which +// the value of the function is 0. Inside of the window, the value is the +// normalized sinc function: +// lanczos(x) = sinc(x) * sinc(x / filter_size); +// where +// sinc(x) = sin(pi*x) / (pi*x); +inline float EvalLanczos(int filter_size, float x) { + if (x <= -filter_size || x >= filter_size) + return 0.0f; // Outside of the window. + if (x > -std::numeric_limits<float>::epsilon() && + x < std::numeric_limits<float>::epsilon()) + return 1.0f; // Special case the discontinuity at the origin. + float xpi = x * static_cast<float>(M_PI); + return (sinf(xpi) / xpi) * // sinc(x) + sinf(xpi / filter_size) / (xpi / filter_size); // sinc(x/filter_size) +} + +// Evaluates the Hamming filter of the given filter size window for the given +// position. +// +// The filter covers [-filter_size, +filter_size]. Outside of this window +// the value of the function is 0. Inside of the window, the value is sinus +// cardinal multiplied by a recentered Hamming function. The traditional +// Hamming formula for a window of size N and n ranging in [0, N-1] is: +// hamming(n) = 0.54 - 0.46 * cos(2 * pi * n / (N-1))) +// In our case we want the function centered for x == 0 and at its minimum +// on both ends of the window (x == +/- filter_size), hence the adjusted +// formula: +// hamming(x) = (0.54 - +// 0.46 * cos(2 * pi * (x - filter_size)/ (2 * filter_size))) +// = 0.54 - 0.46 * cos(pi * x / filter_size - pi) +// = 0.54 + 0.46 * cos(pi * x / filter_size) +inline float EvalHamming(int filter_size, float x) { + if (x <= -filter_size || x >= filter_size) + return 0.0f; // Outside of the window. + if (x > -std::numeric_limits<float>::epsilon() && + x < std::numeric_limits<float>::epsilon()) + return 1.0f; // Special case the sinc discontinuity at the origin. + const float xpi = x * static_cast<float>(M_PI); + + return ((sinf(xpi) / xpi) * // sinc(x) + (0.54f + 0.46f * cosf(xpi / filter_size))); // hamming(x) +} + +// ResizeFilter ---------------------------------------------------------------- + +// Encapsulates computation and storage of the filters required for one complete +// resize operation. + +namespace resize { + + // Returns the number of pixels that the filer spans, in filter space (the + // destination image). + inline float GetFilterSupport(ImageOperations::ResizeMethod method, + float scale) { + switch (method) { + case ImageOperations::RESIZE_BOX: + // The box filter just scales with the image scaling. + return 0.5f; // Only want one side of the filter = /2. + case ImageOperations::RESIZE_HAMMING1: + // The Hamming filter takes as much space in the source image in + // each direction as the size of the window = 1 for Hamming1. + return 1.0f; + case ImageOperations::RESIZE_LANCZOS2: + // The Lanczos filter takes as much space in the source image in + // each direction as the size of the window = 2 for Lanczos2. + return 2.0f; + case ImageOperations::RESIZE_LANCZOS3: + // The Lanczos filter takes as much space in the source image in + // each direction as the size of the window = 3 for Lanczos3. + return 3.0f; + default: + return 1.0f; + } + } + + // Computes one set of filters either horizontally or vertically. The caller + // will specify the "min" and "max" rather than the bottom/top and + // right/bottom so that the same code can be re-used in each dimension. + // + // |src_depend_lo| and |src_depend_size| gives the range for the source + // depend rectangle (horizontally or vertically at the caller's discretion + // -- see above for what this means). + // + // Likewise, the range of destination values to compute and the scale factor + // for the transform is also specified. + void ComputeFilters(ImageOperations::ResizeMethod method, + int src_size, int dst_size, + int dest_subset_lo, int dest_subset_size, + ConvolutionFilter1D* output); + + // Computes the filter value given the coordinate in filter space. + inline float ComputeFilter(ImageOperations::ResizeMethod method, float pos) { + switch (method) { + case ImageOperations::RESIZE_BOX: + return EvalBox(pos); + case ImageOperations::RESIZE_HAMMING1: + return EvalHamming(1, pos); + case ImageOperations::RESIZE_LANCZOS2: + return EvalLanczos(2, pos); + case ImageOperations::RESIZE_LANCZOS3: + return EvalLanczos(3, pos); + default: + return 0; + } + } +} + +} // namespace skia + +#endif // SKIA_EXT_IMAGE_OPERATIONS_H_ |