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/*
* Simd Library (http://ermig1979.github.io/Simd).
*
* Copyright (c) 2011-2017 Yermalayeu Ihar.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "Simd/SimdMemory.h"
namespace Simd
{
namespace Base
{
namespace
{
struct Buffer
{
Buffer(size_t width)
{
_p = Allocate(sizeof(int) * 2 * width);
src0 = (int*)_p;
src1 = src0 + width;
}
~Buffer()
{
Free(_p);
}
int * src0;
int * src1;
private:
void *_p;
};
}
SIMD_INLINE int DivideBy64(int value)
{
return (value + 32) >> 6;
}
SIMD_INLINE int GaussianBlur(const uint8_t *src, size_t x0, size_t x1, size_t x2, size_t x3)
{
return src[x0] + 3 * (src[x1] + src[x2]) + src[x3];
}
SIMD_INLINE void ProcessFirstRow(const uint8_t *src, size_t x0, size_t x1, size_t x2, size_t x3, Buffer & buffer, size_t offset)
{
int tmp = GaussianBlur(src, x0, x1, x2, x3);
buffer.src0[offset] = tmp;
buffer.src1[offset] = tmp;
}
SIMD_INLINE void ProcessMainRow(const uint8_t *s2, const uint8_t *s3, size_t x0, size_t x1, size_t x2, size_t x3, Buffer & buffer, uint8_t* dst, size_t offset)
{
int tmp2 = GaussianBlur(s2, x0, x1, x2, x3);
int tmp3 = GaussianBlur(s3, x0, x1, x2, x3);
dst[offset] = DivideBy64(buffer.src0[offset] + 3 * (buffer.src1[offset] + tmp2) + tmp3);
buffer.src0[offset] = tmp2;
buffer.src1[offset] = tmp3;
}
void ReduceGray4x4(const uint8_t *src, size_t srcWidth, size_t srcHeight, size_t srcStride,
uint8_t *dst, size_t dstWidth, size_t dstHeight, size_t dstStride)
{
assert((srcWidth + 1) / 2 == dstWidth && (srcHeight + 1) / 2 == dstHeight && srcWidth > 2);
Buffer buffer(dstWidth);
ProcessFirstRow(src, 0, 0, 1, 2, buffer, 0);
size_t srcCol = 2, dstCol = 1;
for (; srcCol < srcWidth - 2; srcCol += 2, dstCol++)
ProcessFirstRow(src, srcCol - 1, srcCol, srcCol + 1, srcCol + 2, buffer, dstCol);
ProcessFirstRow(src, srcCol - 1, srcCol, srcWidth - 1, srcWidth - 1, buffer, dstCol);
for (size_t row = 0; row < srcHeight; row += 2, dst += dstStride)
{
const uint8_t *src2 = src + srcStride*(row + 1);
const uint8_t *src3 = src2 + srcStride;
if (row >= srcHeight - 2)
{
src2 = src + srcStride*(srcHeight - 1);
src3 = src2;
}
ProcessMainRow(src2, src3, 0, 0, 1, 2, buffer, dst, 0);
size_t srcCol = 2, dstCol = 1;
for (; srcCol < srcWidth - 2; srcCol += 2, dstCol++)
ProcessMainRow(src2, src3, srcCol - 1, srcCol, srcCol + 1, srcCol + 2, buffer, dst, dstCol);
ProcessMainRow(src2, src3, srcCol - 1, srcCol, srcWidth - 1, srcWidth - 1, buffer, dst, dstCol);
}
}
}
}
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