/*
* Copyright 2015 Google Inc.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#include "SkBitmapScaler.h"
#include "SkBitmapFilter.h"
#include "SkConvolver.h"
#include "SkImageInfo.h"
#include "SkPixmap.h"
#include "SkRect.h"
#include "SkTArray.h"
// SkResizeFilter ----------------------------------------------------------------
// Encapsulates computation and storage of the filters required for one complete
// resize operation.
class SkResizeFilter {
public:
SkResizeFilter(SkBitmapScaler::ResizeMethod method,
int srcFullWidth, int srcFullHeight,
float destWidth, float destHeight,
const SkRect& destSubset,
const SkConvolutionProcs& convolveProcs);
~SkResizeFilter() { delete fBitmapFilter; }
// Returns the filled filter values.
const SkConvolutionFilter1D& xFilter() { return fXFilter; }
const SkConvolutionFilter1D& yFilter() { return fYFilter; }
private:
SkBitmapFilter* fBitmapFilter;
// 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.
//
// |srcDependLo| and |srcDependSize| 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(int srcSize,
float destSubsetLo, float destSubsetSize,
float scale,
SkConvolutionFilter1D* output,
const SkConvolutionProcs& convolveProcs);
SkConvolutionFilter1D fXFilter;
SkConvolutionFilter1D fYFilter;
};
SkResizeFilter::SkResizeFilter(SkBitmapScaler::ResizeMethod method,
int srcFullWidth, int srcFullHeight,
float destWidth, float destHeight,
const SkRect& destSubset,
const SkConvolutionProcs& convolveProcs) {
SkASSERT(method >= SkBitmapScaler::RESIZE_FirstMethod &&
method <= SkBitmapScaler::RESIZE_LastMethod);
fBitmapFilter = nullptr;
switch(method) {
case SkBitmapScaler::RESIZE_BOX:
fBitmapFilter = new SkBoxFilter;
break;
case SkBitmapScaler::RESIZE_TRIANGLE:
fBitmapFilter = new SkTriangleFilter;
break;
case SkBitmapScaler::RESIZE_MITCHELL:
fBitmapFilter = new SkMitchellFilter;
break;
case SkBitmapScaler::RESIZE_HAMMING:
fBitmapFilter = new SkHammingFilter;
break;
case SkBitmapScaler::RESIZE_LANCZOS3:
fBitmapFilter = new SkLanczosFilter;
break;
}
float scaleX = destWidth / srcFullWidth;
float scaleY = destHeight / srcFullHeight;
this->computeFilters(srcFullWidth, destSubset.fLeft, destSubset.width(),
scaleX, &fXFilter, convolveProcs);
if (srcFullWidth == srcFullHeight &&
destSubset.fLeft == destSubset.fTop &&
destSubset.width() == destSubset.height()&&
scaleX == scaleY) {
fYFilter = fXFilter;
} else {
this->computeFilters(srcFullHeight, destSubset.fTop, destSubset.height(),
scaleY, &fYFilter, convolveProcs);
}
}
// TODO(egouriou): Take advantage of periods in the convolution.
// Practical resizing filters are periodic outside of the border area.
// For Lanczos, a scaling by a (reduced) factor of p/q (q pixels in the
// source become p pixels in the destination) will have a period of p.
// A nice consequence is a period of 1 when downscaling by an integral
// factor. Downscaling from typical display resolutions is also bound
// to produce interesting periods as those are chosen to have multiple
// small factors.
// Small periods reduce computational load and improve cache usage if
// the coefficients can be shared. For periods of 1 we can consider
// loading the factors only once outside the borders.
void SkResizeFilter::computeFilters(int srcSize,
float destSubsetLo, float destSubsetSize,
float scale,
SkConvolutionFilter1D* output,
const SkConvolutionProcs& convolveProcs) {
float destSubsetHi = destSubsetLo + destSubsetSize; // [lo, hi)
// When we're doing a magnification, the scale will be larger than one. This
// means the destination pixels are much smaller than the source pixels, and
// that the range covered by the filter won't necessarily cover any source
// pixel boundaries. Therefore, we use these clamped values (max of 1) for
// some computations.
float clampedScale = SkTMin(1.0f, scale);
// This is how many source pixels from the center we need to count
// to support the filtering function.
float srcSupport = fBitmapFilter->width() / clampedScale;
float invScale = 1.0f / scale;
SkSTArray<64, float, true> filterValuesArray;
SkSTArray<64, SkConvolutionFilter1D::ConvolutionFixed, true> fixedFilterValuesArray;
// Loop over all pixels in the output range. We will generate one set of
// filter values for each one. Those values will tell us how to blend the
// source pixels to compute the destination pixel.
// This is the pixel in the source directly under the pixel in the dest.
// Note that we base computations on the "center" of the pixels. To see
// why, observe that the destination pixel at coordinates (0, 0) in a 5.0x
// downscale should "cover" the pixels around the pixel with *its center*
// at coordinates (2.5, 2.5) in the source, not those around (0, 0).
// Hence we need to scale coordinates (0.5, 0.5), not (0, 0).
destSubsetLo = SkScalarFloorToScalar(destSubsetLo);
destSubsetHi = SkScalarCeilToScalar(destSubsetHi);
float srcPixel = (destSubsetLo + 0.5f) * invScale;
int destLimit = SkScalarTruncToInt(destSubsetHi - destSubsetLo);
output->reserveAdditional(destLimit, SkScalarCeilToInt(destLimit * srcSupport * 2));
for (int destI = 0; destI < destLimit; srcPixel += invScale, destI++)
{
// Compute the (inclusive) range of source pixels the filter covers.
float srcBegin = SkTMax(0.f, SkScalarFloorToScalar(srcPixel - srcSupport));
float srcEnd = SkTMin(srcSize - 1.f, SkScalarCeilToScalar(srcPixel + srcSupport));
// Compute the unnormalized filter value at each location of the source
// it covers.
// Sum of the filter values for normalizing.
// Distance from the center of the filter, this is the filter coordinate
// in source space. We also need to consider the center of the pixel
// when comparing distance against 'srcPixel'. In the 5x downscale
// example used above the distance from the center of the filter to
// the pixel with coordinates (2, 2) should be 0, because its center
// is at (2.5, 2.5).
float destFilterDist = (srcBegin + 0.5f - srcPixel) * clampedScale;
int filterCount = SkScalarTruncToInt(srcEnd - srcBegin) + 1;
SkASSERT(filterCount > 0);
filterValuesArray.reset(filterCount);
float filterSum = fBitmapFilter->evaluate_n(destFilterDist, clampedScale, filterCount,
filterValuesArray.begin());
// The filter must be normalized so that we don't affect the brightness of
// the image. Convert to normalized fixed point.
int fixedSum = 0;
fixedFilterValuesArray.reset(filterCount);
const float* filterValues = filterValuesArray.begin();
SkConvolutionFilter1D::ConvolutionFixed* fixedFilterValues = fixedFilterValuesArray.begin();
float invFilterSum = 1 / filterSum;
for (int fixedI = 0; fixedI < filterCount; fixedI++) {
int curFixed = SkConvolutionFilter1D::FloatToFixed(filterValues[fixedI] * invFilterSum);
fixedSum += curFixed;
fixedFilterValues[fixedI] = SkToS16(curFixed);
}
SkASSERT(fixedSum <= 0x7FFF);
// The conversion to fixed point will leave some rounding errors, which
// we add back in to avoid affecting the brightness of the image. We
// arbitrarily add this to the center of the filter array (this won't always
// be the center of the filter function since it could get clipped on the
// edges, but it doesn't matter enough to worry about that case).
int leftovers = SkConvolutionFilter1D::FloatToFixed(1) - fixedSum;
fixedFilterValues[filterCount / 2] += leftovers;
// Now it's ready to go.
output->AddFilter(SkScalarFloorToInt(srcBegin), fixedFilterValues, filterCount);
}
if (convolveProcs.fApplySIMDPadding) {
convolveProcs.fApplySIMDPadding(output);
}
}
///////////////////////////////////////////////////////////////////////////////////////////////////
static bool valid_for_resize(const SkPixmap& source, int dstW, int dstH) {
// TODO: Seems like we shouldn't care about the swizzle of source, just that it's 8888
return source.addr() && source.colorType() == kN32_SkColorType &&
source.width() >= 1 && source.height() >= 1 && dstW >= 1 && dstH >= 1;
}
bool SkBitmapScaler::Resize(const SkPixmap& result, const SkPixmap& source, ResizeMethod method) {
if (!valid_for_resize(source, result.width(), result.height())) {
return false;
}
if (!result.addr() || result.colorType() != source.colorType()) {
return false;
}
SkConvolutionProcs convolveProcs= { 0, nullptr, nullptr, nullptr, nullptr };
PlatformConvolutionProcs(&convolveProcs);
SkRect destSubset = SkRect::MakeIWH(result.width(), result.height());
SkResizeFilter filter(method, source.width(), source.height(),
result.width(), result.height(), destSubset, convolveProcs);
// Get a subset encompassing this touched area. We construct the
// offsets and row strides such that it looks like a new bitmap, while
// referring to the old data.
const uint8_t* sourceSubset = reinterpret_cast<const uint8_t*>(source.addr());
return BGRAConvolve2D(sourceSubset, static_cast<int>(source.rowBytes()),
!source.isOpaque(), filter.xFilter(), filter.yFilter(),
static_cast<int>(result.rowBytes()),
static_cast<unsigned char*>(result.writable_addr()),
convolveProcs, true);
}
bool SkBitmapScaler::Resize(SkBitmap* resultPtr, const SkPixmap& source, ResizeMethod method,
int destWidth, int destHeight, SkBitmap::Allocator* allocator) {
// Preflight some of the checks, to avoid allocating the result if we don't need it.
if (!valid_for_resize(source, destWidth, destHeight)) {
return false;
}
SkBitmap result;
result.setInfo(SkImageInfo::MakeN32(destWidth, destHeight, source.alphaType()));
result.allocPixels(allocator, nullptr);
SkPixmap resultPM;
if (!result.peekPixels(&resultPM) || !Resize(resultPM, source, method)) {
return false;
}
*resultPtr = result;
resultPtr->lockPixels();
SkASSERT(resultPtr->getPixels());
return true;
}