| Index: src/core/SkConvolver.cpp
|
| diff --git a/src/core/SkConvolver.cpp b/src/core/SkConvolver.cpp
|
| new file mode 100644
|
| index 0000000000000000000000000000000000000000..6e960421bcbbbec61be08760e6dbdde8d609d5d0
|
| --- /dev/null
|
| +++ b/src/core/SkConvolver.cpp
|
| @@ -0,0 +1,473 @@
|
| +// Copyright (c) 2011 The Chromium 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 "SkConvolver.h"
|
| +#include "SkSize.h"
|
| +#include "SkTypes.h"
|
| +
|
| +namespace {
|
| +
|
| + // Converts the argument to an 8-bit unsigned value by clamping to the range
|
| + // 0-255.
|
| + inline unsigned char ClampTo8(int a) {
|
| + if (static_cast<unsigned>(a) < 256) {
|
| + return a; // Avoid the extra check in the common case.
|
| + }
|
| + if (a < 0) {
|
| + return 0;
|
| + }
|
| + return 255;
|
| + }
|
| +
|
| + // Takes the value produced by accumulating element-wise product of image with
|
| + // a kernel and brings it back into range.
|
| + // All of the filter scaling factors are in fixed point with kShiftBits bits of
|
| + // fractional part.
|
| + inline unsigned char BringBackTo8(int a, bool takeAbsolute) {
|
| + a >>= SkConvolutionFilter1D::kShiftBits;
|
| + if (takeAbsolute) {
|
| + a = abs(a);
|
| + }
|
| + return ClampTo8(a);
|
| + }
|
| +
|
| + // Stores a list of rows in a circular buffer. The usage is you write into it
|
| + // by calling AdvanceRow. It will keep track of which row in the buffer it
|
| + // should use next, and the total number of rows added.
|
| + class CircularRowBuffer {
|
| + public:
|
| + // The number of pixels in each row is given in |sourceRowPixelWidth|.
|
| + // The maximum number of rows needed in the buffer is |maxYFilterSize|
|
| + // (we only need to store enough rows for the biggest filter).
|
| + //
|
| + // We use the |firstInputRow| to compute the coordinates of all of the
|
| + // following rows returned by Advance().
|
| + CircularRowBuffer(int destRowPixelWidth, int maxYFilterSize,
|
| + int firstInputRow)
|
| + : fRowByteWidth(destRowPixelWidth * 4),
|
| + fNumRows(maxYFilterSize),
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| + fNextRow(0),
|
| + fNextRowCoordinate(firstInputRow) {
|
| + fBuffer.reset(fRowByteWidth * maxYFilterSize);
|
| + fRowAddresses.reset(fNumRows);
|
| + }
|
| +
|
| + // Moves to the next row in the buffer, returning a pointer to the beginning
|
| + // of it.
|
| + unsigned char* advanceRow() {
|
| + unsigned char* row = &fBuffer[fNextRow * fRowByteWidth];
|
| + fNextRowCoordinate++;
|
| +
|
| + // Set the pointer to the next row to use, wrapping around if necessary.
|
| + fNextRow++;
|
| + if (fNextRow == fNumRows) {
|
| + fNextRow = 0;
|
| + }
|
| + return row;
|
| + }
|
| +
|
| + // Returns a pointer to an "unrolled" array of rows. These rows will start
|
| + // at the y coordinate placed into |*firstRowIndex| and will continue in
|
| + // order for the maximum number of rows in this circular buffer.
|
| + //
|
| + // The |firstRowIndex_| may be negative. This means the circular buffer
|
| + // starts before the top of the image (it hasn't been filled yet).
|
| + unsigned char* const* GetRowAddresses(int* firstRowIndex) {
|
| + // Example for a 4-element circular buffer holding coords 6-9.
|
| + // Row 0 Coord 8
|
| + // Row 1 Coord 9
|
| + // Row 2 Coord 6 <- fNextRow = 2, fNextRowCoordinate = 10.
|
| + // Row 3 Coord 7
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| + //
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| + // The "next" row is also the first (lowest) coordinate. This computation
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| + // may yield a negative value, but that's OK, the math will work out
|
| + // since the user of this buffer will compute the offset relative
|
| + // to the firstRowIndex and the negative rows will never be used.
|
| + *firstRowIndex = fNextRowCoordinate - fNumRows;
|
| +
|
| + int curRow = fNextRow;
|
| + for (int i = 0; i < fNumRows; i++) {
|
| + fRowAddresses[i] = &fBuffer[curRow * fRowByteWidth];
|
| +
|
| + // Advance to the next row, wrapping if necessary.
|
| + curRow++;
|
| + if (curRow == fNumRows) {
|
| + curRow = 0;
|
| + }
|
| + }
|
| + return &fRowAddresses[0];
|
| + }
|
| +
|
| + private:
|
| + // The buffer storing the rows. They are packed, each one fRowByteWidth.
|
| + SkTArray<unsigned char> fBuffer;
|
| +
|
| + // Number of bytes per row in the |buffer|.
|
| + int fRowByteWidth;
|
| +
|
| + // The number of rows available in the buffer.
|
| + int fNumRows;
|
| +
|
| + // The next row index we should write into. This wraps around as the
|
| + // circular buffer is used.
|
| + int fNextRow;
|
| +
|
| + // The y coordinate of the |fNextRow|. This is incremented each time a
|
| + // new row is appended and does not wrap.
|
| + int fNextRowCoordinate;
|
| +
|
| + // Buffer used by GetRowAddresses().
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| + SkTArray<unsigned char*> fRowAddresses;
|
| + };
|
| +
|
| +// Convolves horizontally along a single row. The row data is given in
|
| +// |srcData| and continues for the numValues() of the filter.
|
| +template<bool hasAlpha>
|
| + void ConvolveHorizontally(const unsigned char* srcData,
|
| + const SkConvolutionFilter1D& filter,
|
| + unsigned char* outRow) {
|
| + // Loop over each pixel on this row in the output image.
|
| + int numValues = filter.numValues();
|
| + for (int outX = 0; outX < numValues; outX++) {
|
| + // Get the filter that determines the current output pixel.
|
| + int filterOffset, filterLength;
|
| + const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
|
| + filter.FilterForValue(outX, &filterOffset, &filterLength);
|
| +
|
| + // Compute the first pixel in this row that the filter affects. It will
|
| + // touch |filterLength| pixels (4 bytes each) after this.
|
| + const unsigned char* rowToFilter = &srcData[filterOffset * 4];
|
| +
|
| + // Apply the filter to the row to get the destination pixel in |accum|.
|
| + int accum[4] = {0};
|
| + for (int filterX = 0; filterX < filterLength; filterX++) {
|
| + SkConvolutionFilter1D::ConvolutionFixed curFilter = filterValues[filterX];
|
| + accum[0] += curFilter * rowToFilter[filterX * 4 + 0];
|
| + accum[1] += curFilter * rowToFilter[filterX * 4 + 1];
|
| + accum[2] += curFilter * rowToFilter[filterX * 4 + 2];
|
| + if (hasAlpha) {
|
| + accum[3] += curFilter * rowToFilter[filterX * 4 + 3];
|
| + }
|
| + }
|
| +
|
| + // Bring this value back in range. All of the filter scaling factors
|
| + // are in fixed point with kShiftBits bits of fractional part.
|
| + accum[0] >>= SkConvolutionFilter1D::kShiftBits;
|
| + accum[1] >>= SkConvolutionFilter1D::kShiftBits;
|
| + accum[2] >>= SkConvolutionFilter1D::kShiftBits;
|
| + if (hasAlpha) {
|
| + accum[3] >>= SkConvolutionFilter1D::kShiftBits;
|
| + }
|
| +
|
| + // Store the new pixel.
|
| + outRow[outX * 4 + 0] = ClampTo8(accum[0]);
|
| + outRow[outX * 4 + 1] = ClampTo8(accum[1]);
|
| + outRow[outX * 4 + 2] = ClampTo8(accum[2]);
|
| + if (hasAlpha) {
|
| + outRow[outX * 4 + 3] = ClampTo8(accum[3]);
|
| + }
|
| + }
|
| + }
|
| +
|
| +// Does vertical convolution to produce one output row. The filter values and
|
| +// length are given in the first two parameters. These are applied to each
|
| +// of the rows pointed to in the |sourceDataRows| array, with each row
|
| +// being |pixelWidth| wide.
|
| +//
|
| +// The output must have room for |pixelWidth * 4| bytes.
|
| +template<bool hasAlpha>
|
| + void ConvolveVertically(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
|
| + int filterLength,
|
| + unsigned char* const* sourceDataRows,
|
| + int pixelWidth,
|
| + unsigned char* outRow) {
|
| + // We go through each column in the output and do a vertical convolution,
|
| + // generating one output pixel each time.
|
| + for (int outX = 0; outX < pixelWidth; outX++) {
|
| + // Compute the number of bytes over in each row that the current column
|
| + // we're convolving starts at. The pixel will cover the next 4 bytes.
|
| + int byteOffset = outX * 4;
|
| +
|
| + // Apply the filter to one column of pixels.
|
| + int accum[4] = {0};
|
| + for (int filterY = 0; filterY < filterLength; filterY++) {
|
| + SkConvolutionFilter1D::ConvolutionFixed curFilter = filterValues[filterY];
|
| + accum[0] += curFilter * sourceDataRows[filterY][byteOffset + 0];
|
| + accum[1] += curFilter * sourceDataRows[filterY][byteOffset + 1];
|
| + accum[2] += curFilter * sourceDataRows[filterY][byteOffset + 2];
|
| + if (hasAlpha) {
|
| + accum[3] += curFilter * sourceDataRows[filterY][byteOffset + 3];
|
| + }
|
| + }
|
| +
|
| + // Bring this value back in range. All of the filter scaling factors
|
| + // are in fixed point with kShiftBits bits of precision.
|
| + accum[0] >>= SkConvolutionFilter1D::kShiftBits;
|
| + accum[1] >>= SkConvolutionFilter1D::kShiftBits;
|
| + accum[2] >>= SkConvolutionFilter1D::kShiftBits;
|
| + if (hasAlpha) {
|
| + accum[3] >>= SkConvolutionFilter1D::kShiftBits;
|
| + }
|
| +
|
| + // Store the new pixel.
|
| + outRow[byteOffset + 0] = ClampTo8(accum[0]);
|
| + outRow[byteOffset + 1] = ClampTo8(accum[1]);
|
| + outRow[byteOffset + 2] = ClampTo8(accum[2]);
|
| + if (hasAlpha) {
|
| + unsigned char alpha = ClampTo8(accum[3]);
|
| +
|
| + // Make sure the alpha channel doesn't come out smaller than any of the
|
| + // color channels. We use premultipled alpha channels, so this should
|
| + // never happen, but rounding errors will cause this from time to time.
|
| + // These "impossible" colors will cause overflows (and hence random pixel
|
| + // values) when the resulting bitmap is drawn to the screen.
|
| + //
|
| + // We only need to do this when generating the final output row (here).
|
| + int maxColorChannel = SkTMax(outRow[byteOffset + 0],
|
| + SkTMax(outRow[byteOffset + 1],
|
| + outRow[byteOffset + 2]));
|
| + if (alpha < maxColorChannel) {
|
| + outRow[byteOffset + 3] = maxColorChannel;
|
| + } else {
|
| + outRow[byteOffset + 3] = alpha;
|
| + }
|
| + } else {
|
| + // No alpha channel, the image is opaque.
|
| + outRow[byteOffset + 3] = 0xff;
|
| + }
|
| + }
|
| + }
|
| +
|
| + void ConvolveVertically(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
|
| + int filterLength,
|
| + unsigned char* const* sourceDataRows,
|
| + int pixelWidth,
|
| + unsigned char* outRow,
|
| + bool sourceHasAlpha) {
|
| + if (sourceHasAlpha) {
|
| + ConvolveVertically<true>(filterValues, filterLength,
|
| + sourceDataRows, pixelWidth,
|
| + outRow);
|
| + } else {
|
| + ConvolveVertically<false>(filterValues, filterLength,
|
| + sourceDataRows, pixelWidth,
|
| + outRow);
|
| + }
|
| + }
|
| +
|
| +} // namespace
|
| +
|
| +// SkConvolutionFilter1D ---------------------------------------------------------
|
| +
|
| +SkConvolutionFilter1D::SkConvolutionFilter1D()
|
| +: fMaxFilter(0) {
|
| +}
|
| +
|
| +SkConvolutionFilter1D::~SkConvolutionFilter1D() {
|
| +}
|
| +
|
| +void SkConvolutionFilter1D::AddFilter(int filterOffset,
|
| + const float* filterValues,
|
| + int filterLength) {
|
| + SkASSERT(filterLength > 0);
|
| +
|
| + SkTArray<ConvolutionFixed> fixedValues;
|
| + fixedValues.reset(filterLength);
|
| +
|
| + for (int i = 0; i < filterLength; ++i) {
|
| + fixedValues.push_back(FloatToFixed(filterValues[i]));
|
| + }
|
| +
|
| + AddFilter(filterOffset, &fixedValues[0], filterLength);
|
| +}
|
| +
|
| +void SkConvolutionFilter1D::AddFilter(int filterOffset,
|
| + const ConvolutionFixed* filterValues,
|
| + int filterLength) {
|
| + // It is common for leading/trailing filter values to be zeros. In such
|
| + // cases it is beneficial to only store the central factors.
|
| + // For a scaling to 1/4th in each dimension using a Lanczos-2 filter on
|
| + // a 1080p image this optimization gives a ~10% speed improvement.
|
| + int filterSize = filterLength;
|
| + int firstNonZero = 0;
|
| + while (firstNonZero < filterLength && filterValues[firstNonZero] == 0) {
|
| + firstNonZero++;
|
| + }
|
| +
|
| + if (firstNonZero < filterLength) {
|
| + // Here we have at least one non-zero factor.
|
| + int lastNonZero = filterLength - 1;
|
| + while (lastNonZero >= 0 && filterValues[lastNonZero] == 0) {
|
| + lastNonZero--;
|
| + }
|
| +
|
| + filterOffset += firstNonZero;
|
| + filterLength = lastNonZero + 1 - firstNonZero;
|
| + SkASSERT(filterLength > 0);
|
| +
|
| + for (int i = firstNonZero; i <= lastNonZero; i++) {
|
| + fFilterValues.push_back(filterValues[i]);
|
| + }
|
| + } else {
|
| + // Here all the factors were zeroes.
|
| + filterLength = 0;
|
| + }
|
| +
|
| + FilterInstance instance;
|
| +
|
| + // We pushed filterLength elements onto fFilterValues
|
| + instance.fDataLocation = (static_cast<int>(fFilterValues.count()) -
|
| + filterLength);
|
| + instance.fOffset = filterOffset;
|
| + instance.fTrimmedLength = filterLength;
|
| + instance.fLength = filterSize;
|
| + fFilters.push_back(instance);
|
| +
|
| + fMaxFilter = SkTMax(fMaxFilter, filterLength);
|
| +}
|
| +
|
| +const SkConvolutionFilter1D::ConvolutionFixed* SkConvolutionFilter1D::GetSingleFilter(
|
| + int* specifiedFilterlength,
|
| + int* filterOffset,
|
| + int* filterLength) const {
|
| + const FilterInstance& filter = fFilters[0];
|
| + *filterOffset = filter.fOffset;
|
| + *filterLength = filter.fTrimmedLength;
|
| + *specifiedFilterlength = filter.fLength;
|
| + if (filter.fTrimmedLength == 0) {
|
| + return NULL;
|
| + }
|
| +
|
| + return &fFilterValues[filter.fDataLocation];
|
| +}
|
| +
|
| +void BGRAConvolve2D(const unsigned char* sourceData,
|
| + int sourceByteRowStride,
|
| + bool sourceHasAlpha,
|
| + const SkConvolutionFilter1D& filterX,
|
| + const SkConvolutionFilter1D& filterY,
|
| + int outputByteRowStride,
|
| + unsigned char* output,
|
| + SkConvolutionProcs *convolveProcs,
|
| + bool useSimdIfPossible) {
|
| +
|
| + int maxYFilterSize = filterY.maxFilter();
|
| +
|
| + // The next row in the input that we will generate a horizontally
|
| + // convolved row for. If the filter doesn't start at the beginning of the
|
| + // image (this is the case when we are only resizing a subset), then we
|
| + // don't want to generate any output rows before that. Compute the starting
|
| + // row for convolution as the first pixel for the first vertical filter.
|
| + int filterOffset, filterLength;
|
| + const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
|
| + filterY.FilterForValue(0, &filterOffset, &filterLength);
|
| + int nextXRow = filterOffset;
|
| +
|
| + // We loop over each row in the input doing a horizontal convolution. This
|
| + // will result in a horizontally convolved image. We write the results into
|
| + // a circular buffer of convolved rows and do vertical convolution as rows
|
| + // are available. This prevents us from having to store the entire
|
| + // intermediate image and helps cache coherency.
|
| + // We will need four extra rows to allow horizontal convolution could be done
|
| + // simultaneously. We also pad each row in row buffer to be aligned-up to
|
| + // 16 bytes.
|
| + // TODO(jiesun): We do not use aligned load from row buffer in vertical
|
| + // convolution pass yet. Somehow Windows does not like it.
|
| + int rowBufferWidth = (filterX.numValues() + 15) & ~0xF;
|
| + int rowBufferHeight = maxYFilterSize +
|
| + (convolveProcs->fConvolve4RowsHorizontally ? 4 : 0);
|
| + CircularRowBuffer rowBuffer(rowBufferWidth,
|
| + rowBufferHeight,
|
| + filterOffset);
|
| +
|
| + // Loop over every possible output row, processing just enough horizontal
|
| + // convolutions to run each subsequent vertical convolution.
|
| + SkASSERT(outputByteRowStride >= filterX.numValues() * 4);
|
| + int numOutputRows = filterY.numValues();
|
| +
|
| + // We need to check which is the last line to convolve before we advance 4
|
| + // lines in one iteration.
|
| + int lastFilterOffset, lastFilterLength;
|
| +
|
| + // SSE2 can access up to 3 extra pixels past the end of the
|
| + // buffer. At the bottom of the image, we have to be careful
|
| + // not to access data past the end of the buffer. Normally
|
| + // we fall back to the C++ implementation for the last row.
|
| + // If the last row is less than 3 pixels wide, we may have to fall
|
| + // back to the C++ version for more rows. Compute how many
|
| + // rows we need to avoid the SSE implementation for here.
|
| + filterX.FilterForValue(filterX.numValues() - 1, &lastFilterOffset,
|
| + &lastFilterLength);
|
| + int avoidSimdRows = 1 + convolveProcs->fExtraHorizontalReads /
|
| + (lastFilterOffset + lastFilterLength);
|
| +
|
| + filterY.FilterForValue(numOutputRows - 1, &lastFilterOffset,
|
| + &lastFilterLength);
|
| +
|
| + for (int outY = 0; outY < numOutputRows; outY++) {
|
| + filterValues = filterY.FilterForValue(outY,
|
| + &filterOffset, &filterLength);
|
| +
|
| + // Generate output rows until we have enough to run the current filter.
|
| + while (nextXRow < filterOffset + filterLength) {
|
| + if (convolveProcs->fConvolve4RowsHorizontally &&
|
| + nextXRow + 3 < lastFilterOffset + lastFilterLength -
|
| + avoidSimdRows) {
|
| + const unsigned char* src[4];
|
| + unsigned char* outRow[4];
|
| + for (int i = 0; i < 4; ++i) {
|
| + src[i] = &sourceData[(nextXRow + i) * sourceByteRowStride];
|
| + outRow[i] = rowBuffer.advanceRow();
|
| + }
|
| + convolveProcs->fConvolve4RowsHorizontally(src, filterX, outRow);
|
| + nextXRow += 4;
|
| + } else {
|
| + // Check if we need to avoid SSE2 for this row.
|
| + if (convolveProcs->fConvolveHorizontally &&
|
| + nextXRow < lastFilterOffset + lastFilterLength -
|
| + avoidSimdRows) {
|
| + convolveProcs->fConvolveHorizontally(
|
| + &sourceData[nextXRow * sourceByteRowStride],
|
| + filterX, rowBuffer.advanceRow(), sourceHasAlpha);
|
| + } else {
|
| + if (sourceHasAlpha) {
|
| + ConvolveHorizontally<true>(
|
| + &sourceData[nextXRow * sourceByteRowStride],
|
| + filterX, rowBuffer.advanceRow());
|
| + } else {
|
| + ConvolveHorizontally<false>(
|
| + &sourceData[nextXRow * sourceByteRowStride],
|
| + filterX, rowBuffer.advanceRow());
|
| + }
|
| + }
|
| + nextXRow++;
|
| + }
|
| + }
|
| +
|
| + // Compute where in the output image this row of final data will go.
|
| + unsigned char* curOutputRow = &output[outY * outputByteRowStride];
|
| +
|
| + // Get the list of rows that the circular buffer has, in order.
|
| + int firstRowInCircularBuffer;
|
| + unsigned char* const* rowsToConvolve =
|
| + rowBuffer.GetRowAddresses(&firstRowInCircularBuffer);
|
| +
|
| + // Now compute the start of the subset of those rows that the filter
|
| + // needs.
|
| + unsigned char* const* firstRowForFilter =
|
| + &rowsToConvolve[filterOffset - firstRowInCircularBuffer];
|
| +
|
| + if (convolveProcs->fConvolveVertically) {
|
| + convolveProcs->fConvolveVertically(filterValues, filterLength,
|
| + firstRowForFilter,
|
| + filterX.numValues(), curOutputRow,
|
| + sourceHasAlpha);
|
| + } else {
|
| + ConvolveVertically(filterValues, filterLength,
|
| + firstRowForFilter,
|
| + filterX.numValues(), curOutputRow,
|
| + sourceHasAlpha);
|
| + }
|
| + }
|
| +}
|
|
|