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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"
#include "Simd/SimdStore.h"
namespace Simd
{
#ifdef SIMD_NEON_ENABLE
namespace Neon
{
namespace
{
struct Buffer
{
Buffer(size_t width)
{
_p = Allocate(sizeof(uint16_t)*(5 * width + A));
in0 = (uint16_t*)_p;
in1 = in0 + width;
out0 = in1 + width;
out1 = out0 + width;
dst = out1 + width + HA;
}
~Buffer()
{
Free(_p);
}
uint16_t * in0;
uint16_t * in1;
uint16_t * out0;
uint16_t * out1;
uint16_t * dst;
private:
void *_p;
};
}
template <bool compensation> SIMD_INLINE uint16x8_t DivideBy256(uint16x8_t value);
template <> SIMD_INLINE uint16x8_t DivideBy256<true>(uint16x8_t value)
{
return vshrq_n_u16(vaddq_u16(value, K16_0080), 8);
}
template <> SIMD_INLINE uint16x8_t DivideBy256<false>(uint16x8_t value)
{
return vshrq_n_u16(value, 8);
}
SIMD_INLINE uint16x8_t LoadUnpacked(const uint8_t * src)
{
return vmovl_u8(vld1_u8(src));
}
template<bool align> SIMD_INLINE void FirstRow5x5(uint16x8_t src, Buffer & buffer, size_t offset)
{
Store<align>(buffer.in0 + offset, src);
Store<align>(buffer.in1 + offset, vmulq_u16(src, K16_0005));
}
template<bool align> SIMD_INLINE void FirstRow5x5(const uint8_t * src, Buffer & buffer, size_t offset)
{
FirstRow5x5<align>(LoadUnpacked(src + offset), buffer, offset);
offset += HA;
FirstRow5x5<align>(LoadUnpacked(src + offset), buffer, offset);
}
template<bool align> SIMD_INLINE void MainRowY5x5(uint16x8_t odd, uint16x8_t even, Buffer & buffer, size_t offset)
{
uint16x8_t cp = vmulq_u16(odd, K16_0004);
uint16x8_t c0 = Load<align>(buffer.in0 + offset);
uint16x8_t c1 = Load<align>(buffer.in1 + offset);
Store<align>(buffer.dst + offset, vaddq_u16(even, vaddq_u16(c1, vaddq_u16(cp, vmulq_u16(c0, K16_0006)))));
Store<align>(buffer.out1 + offset, vaddq_u16(c0, cp));
Store<align>(buffer.out0 + offset, even);
}
template<bool align> SIMD_INLINE void MainRowY5x5(const uint8_t *odd, const uint8_t *even, Buffer & buffer, size_t offset)
{
MainRowY5x5<align>(LoadUnpacked(odd + offset), LoadUnpacked(even + offset), buffer, offset);
offset += HA;
MainRowY5x5<align>(LoadUnpacked(odd + offset), LoadUnpacked(even + offset), buffer, offset);
}
template <bool align, bool compensation> SIMD_INLINE uint16x8_t MainRowX5x5(uint16_t * dst)
{
uint16x8_t t0 = vld1q_u16(dst - 2);
uint16x8_t t1 = vld1q_u16(dst - 1);
uint16x8_t t2 = Load<align>(dst);
uint16x8_t t3 = vld1q_u16(dst + 1);
uint16x8_t t4 = vld1q_u16(dst + 2);
t2 = vaddq_u16(vaddq_u16(vmulq_u16(t2, K16_0006), vmulq_u16(vaddq_u16(t1, t3), K16_0004)), vaddq_u16(t0, t4));
return DivideBy256<compensation>(t2);
}
template <bool align, bool compensation> SIMD_INLINE void MainRowX5x5(Buffer & buffer, size_t offset, uint8_t *dst)
{
uint16x8_t lo = MainRowX5x5<align, compensation>(buffer.dst + offset);
uint16x8_t hi = MainRowX5x5<align, compensation>(buffer.dst + offset + HA);
vst1_u8(dst, Deinterleave(PackU16(lo, hi)).val[0]);
}
template <bool compensation> void ReduceGray5x5(
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 >= A);
size_t alignedWidth = Simd::AlignLo(srcWidth, A);
size_t bufferDstTail = Simd::AlignHi(srcWidth - A, 2);
Buffer buffer(Simd::AlignHi(srcWidth, A));
for (size_t col = 0; col < alignedWidth; col += A)
FirstRow5x5<true>(src, buffer, col);
if (alignedWidth != srcWidth)
FirstRow5x5<false>(src, buffer, srcWidth - A);
src += srcStride;
for (size_t row = 1; row <= srcHeight; row += 2, dst += dstStride, src += 2 * srcStride)
{
const uint8_t *odd = src - (row < srcHeight ? 0 : srcStride);
const uint8_t *even = odd + (row < srcHeight - 1 ? srcStride : 0);
for (size_t col = 0; col < alignedWidth; col += A)
MainRowY5x5<true>(odd, even, buffer, col);
if (alignedWidth != srcWidth)
MainRowY5x5<false>(odd, even, buffer, srcWidth - A);
Swap(buffer.in0, buffer.out0);
Swap(buffer.in1, buffer.out1);
buffer.dst[-2] = buffer.dst[0];
buffer.dst[-1] = buffer.dst[0];
buffer.dst[srcWidth] = buffer.dst[srcWidth - 1];
buffer.dst[srcWidth + 1] = buffer.dst[srcWidth - 1];
for (size_t srcCol = 0, dstCol = 0; srcCol < alignedWidth; srcCol += A, dstCol += HA)
MainRowX5x5<true, compensation>(buffer, srcCol, dst + dstCol);
if (alignedWidth != srcWidth)
MainRowX5x5<false, compensation>(buffer, bufferDstTail, dst + dstWidth - HA);
}
}
void ReduceGray5x5(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, int compensation)
{
if (compensation)
ReduceGray5x5<true>(src, srcWidth, srcHeight, srcStride, dst, dstWidth, dstHeight, dstStride);
else
ReduceGray5x5<false>(src, srcWidth, srcHeight, srcStride, dst, dstWidth, dstHeight, dstStride);
}
}
#endif// SIMD_NEON_ENABLE
}
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