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/*
* Copyright 2020 Google Inc.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#ifndef SkImageSampling_DEFINED
#define SkImageSampling_DEFINED
#include "include/core/SkFilterQuality.h"
enum class SkSamplingMode {
kNearest, // single sample point (nearest neighbor)
kLinear, // interporate between 2x2 sample points (bilinear interpolation)
};
enum class SkMipmapMode {
kNone, // ignore mipmap levels, sample from the "base"
kNearest, // sample from the nearest level
kLinear, // interpolate between the two nearest levels
};
/*
* Specify B and C (each between 0...1) to create a shader that applies the corresponding
* cubic reconstruction filter to the image.
*
* Example values:
* B = 1/3, C = 1/3 "Mitchell" filter
* B = 0, C = 1/2 "Catmull-Rom" filter
*
* See "Reconstruction Filters in Computer Graphics"
* Don P. Mitchell
* Arun N. Netravali
* 1988
* https://www.cs.utexas.edu/~fussell/courses/cs384g-fall2013/lectures/mitchell/Mitchell.pdf
*
* Desmos worksheet https://www.desmos.com/calculator/aghdpicrvr
* Nice overview https://entropymine.com/imageworsener/bicubic/
*/
struct SkCubicResampler {
float B, C;
};
struct SkFilterOptions {
SkSamplingMode fSampling;
SkMipmapMode fMipmap;
};
struct SkSamplingOptions {
bool fUseCubic;
SkCubicResampler fCubic; //!< use if fUseCubic is true
SkFilterOptions fFilter; //!< use if fUseCubic is false
SkSamplingOptions()
: fUseCubic(false)
, fCubic({0,0})
, fFilter({SkSamplingMode::kNearest, SkMipmapMode::kNone})
{}
SkSamplingOptions(const SkFilterOptions& filter)
: fUseCubic(false)
, fCubic({0,0}) // ignored
, fFilter(filter)
{}
SkSamplingOptions(const SkCubicResampler& cubic)
: fUseCubic(true)
, fCubic(cubic)
, fFilter({SkSamplingMode::kNearest, SkMipmapMode::kNone}) // ignored
{}
// Soon to go away
static SkSamplingOptions Make(SkFilterQuality);
};
#endif