314 lines
10 KiB
C++
314 lines
10 KiB
C++
#pragma once
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#ifndef TCG_IMAGE_OPS_HPP
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#define TCG_IMAGE_OPS_HPP
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// tcg includes
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#include "../image_ops.h"
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#include "../pixel.h"
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#include "../unique_ptr.h"
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// STD includes
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#include <assert.h>
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#include <memory>
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namespace tcg {
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namespace image_ops {
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//**************************************************************************
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// Flat Blur implementation
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//**************************************************************************
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template <typename PtrIn, typename PtrOut, typename PixSum>
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void _flatFilterLine(PtrIn in, PtrOut out, int lx, int addIn, int addOut,
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int radius, PixSum *sums) {
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typedef typename std::iterator_traits<PtrIn> trIn;
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typedef typename trIn::value_type pixIn_type;
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struct locals {
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inline static void fillSums(int lx, int radius, PtrIn lineIn,
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PixSum *pixsum, int addIn, int addSum) {
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using namespace pixel_ops;
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PtrIn newPixIn = lineIn;
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PixSum sum;
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// Build up to radius pixels adding new pixels only
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int x, xNew, xEnd = tmin(radius, lx);
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for (xNew = 0; xNew != xEnd; ++xNew, newPixIn += addIn)
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sum = sum + *newPixIn;
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// Store sums AND add new pixels. Observe that the current pixel value is
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// decreased
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// BEFORE storage. This makes this function "strict" in calculating the
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// sums.
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for (x = 0; xNew != lx;
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++x, ++xNew, lineIn += addIn, newPixIn += addIn, pixsum += addSum) {
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sum = (sum + *newPixIn) - *lineIn;
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*pixsum = *pixsum + sum;
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}
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// Finally, without adding new pixels
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for (; x != lx; ++x, lineIn += addIn, pixsum += addSum) {
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sum = sum - *lineIn;
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*pixsum = *pixsum + sum;
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}
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}
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};
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memset(sums, 0, lx * sizeof(PixSum));
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// Add *strict* halves of the convolution sums
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locals::fillSums(lx, radius, in, sums, addIn,
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1); // Right part of the convolution
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locals::fillSums(lx, radius, in + addIn * (lx - 1), sums + lx - 1, -addIn,
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-1); // Left ...
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// Normalize sums
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int diameter = 2 * radius + 1;
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for (int x = 0; x != lx; ++x, in += addIn, out += addOut, ++sums) {
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using namespace pixel_ops;
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pixIn_type pix(*in);
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pixel_ops::assign(
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pix, (*sums + pix) / diameter); // Note that *in is added, due *strict*
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// halving the sums above
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*out = pix;
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}
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}
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//----------------------------------------------------------------------
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template <typename PtrIn, typename PtrOut, typename PixSum,
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typename SelectorFunc>
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void _flatFilterLine(PtrIn in, PtrOut out, int lx, int addIn, int addOut,
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SelectorFunc selector, int radius, PixSum *sums,
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int *counts) {
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typedef typename std::iterator_traits<PtrIn> trIn;
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typedef typename trIn::value_type pixIn_type;
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struct locals {
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inline static void fillSums(int lx, int radius, PtrIn lineIn,
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PixSum *pixsum, int *pixcount, int addIn,
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int addSum, SelectorFunc selector) {
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using namespace pixel_ops;
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PtrIn newPixIn = lineIn;
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PixSum sum;
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int count = 0;
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// Build up to radius pixels adding new pixels only
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int x, xNew, xEnd = tmin(radius, lx);
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for (xNew = 0; xNew != xEnd; ++xNew, newPixIn += addIn) {
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const pixIn_type &npi = *newPixIn;
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if (selector(npi)) sum = sum + npi, ++count;
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}
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// Store sums AND add new pixels. Observe that the current pixel value is
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// decreased
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// BEFORE storage. This makes this function "strict" in calculating the
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// sums.
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for (x = 0; xNew != lx; ++x, ++xNew, lineIn += addIn, newPixIn += addIn,
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pixsum += addSum, pixcount += addSum) {
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const pixIn_type &npi = *newPixIn, &li = *lineIn;
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if (selector(npi)) sum = sum + npi, ++count;
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if (selector(li)) sum = sum - li, --count;
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*pixsum = *pixsum + sum, *pixcount += count;
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}
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// Finally, without adding new pixels
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for (; x != lx;
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++x, lineIn += addIn, pixsum += addSum, pixcount += addSum) {
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const pixIn_type &li = *lineIn;
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if (selector(li)) sum = sum - li, --count;
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*pixsum = *pixsum + sum, *pixcount += count;
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}
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}
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};
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memset(sums, 0, lx * sizeof(PixSum));
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memset(counts, 0, lx * sizeof(int));
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// Add *strict* halves of the convolution sums
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locals::fillSums(lx, radius, in, sums, counts, addIn, 1, selector);
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locals::fillSums(lx, radius, in + addIn * (lx - 1), sums + lx - 1,
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counts + lx - 1, -addIn, -1, selector);
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// Normalize sums
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for (int x = 0; x != lx; ++x, in += addIn, out += addOut, ++sums, ++counts) {
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using namespace pixel_ops;
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assert(*counts >= 0);
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pixIn_type pix(*in);
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pixel_ops::assign(pix, (*sums + pix) / (*counts + 1));
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*out = pix;
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}
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}
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//----------------------------------------------------------------------
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template <typename ImgIn, typename ImgOut, typename Scalar>
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void blurRows(const ImgIn &imgIn, ImgOut &imgOut, int radius, Scalar) {
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typedef typename image_traits<ImgIn>::pixel_ptr_type PtrIn;
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typedef typename image_traits<ImgOut>::pixel_ptr_type PtrOut;
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typedef tcg::Pixel<Scalar, image_traits<ImgIn>::pixel_category> PixSum;
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// Validate parameters
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int inLx = image_traits<ImgIn>::width(imgIn),
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inLy = image_traits<ImgIn>::height(imgIn);
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int outLx = image_traits<ImgOut>::width(imgOut),
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outLy = image_traits<ImgOut>::height(imgOut);
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assert(inLx == outLx && inLy == outLy);
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int inWrap = image_traits<ImgIn>::wrap(imgIn),
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outWrap = image_traits<ImgOut>::wrap(imgOut);
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// Allocate an intermediate line of pixels to store sum values
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tcg::unique_ptr<PixSum[]> sums(new PixSum[inLx]);
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// Filter rows
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for (int y = 0; y != inLy; ++y) {
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PtrIn lineIn = image_traits<ImgIn>::pixel(imgIn, 0, y);
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PtrOut lineOut = image_traits<ImgOut>::pixel(imgOut, 0, y);
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_flatFilterLine(lineIn, lineOut, inLx, 1, 1, radius, sums.get());
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}
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}
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//----------------------------------------------------------------------
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template <typename ImgIn, typename ImgOut, typename SelectorFunc,
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typename Scalar>
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void blurRows(const ImgIn &imgIn, ImgOut &imgOut, int radius,
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SelectorFunc selector, Scalar) {
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typedef typename image_traits<ImgIn>::pixel_ptr_type PtrIn;
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typedef typename image_traits<ImgOut>::pixel_ptr_type PtrOut;
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typedef tcg::Pixel<Scalar, image_traits<ImgIn>::pixel_category> PixSum;
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// Validate parameters
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int inLx = image_traits<ImgIn>::width(imgIn),
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inLy = image_traits<ImgIn>::height(imgIn);
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int outLx = image_traits<ImgOut>::width(imgOut),
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outLy = image_traits<ImgOut>::height(imgOut);
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assert(inLx == outLx && inLy == outLy);
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int inWrap = image_traits<ImgIn>::wrap(imgIn),
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outWrap = image_traits<ImgOut>::wrap(imgOut);
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// Allocate an intermediate line of pixels to store sum values
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tcg::unique_ptr<PixSum[]> sums(new PixSum[inLx]);
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tcg::unique_ptr<int[]> counts(new int[inLx]);
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// Filter rows
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for (int y = 0; y != inLy; ++y) {
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PtrIn lineIn = image_traits<ImgIn>::pixel(imgIn, 0, y);
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PtrOut lineOut = image_traits<ImgOut>::pixel(imgOut, 0, y);
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_flatFilterLine(lineIn, lineOut, inLx, 1, 1, selector, radius, sums.get(),
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counts.get());
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}
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}
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//----------------------------------------------------------------------
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template <typename ImgIn, typename ImgOut, typename Scalar>
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void blurCols(const ImgIn &imgIn, ImgOut &imgOut, int radius, Scalar) {
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typedef typename image_traits<ImgIn>::pixel_ptr_type PtrIn;
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typedef typename image_traits<ImgOut>::pixel_ptr_type PtrOut;
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typedef tcg::Pixel<Scalar, typename image_traits<ImgIn>::pixel_category>
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PixSum;
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// Validate parameters
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int inLx = image_traits<ImgIn>::width(imgIn),
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inLy = image_traits<ImgIn>::height(imgIn);
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int outLx = image_traits<ImgOut>::width(imgOut),
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outLy = image_traits<ImgOut>::height(imgOut);
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assert(inLx == outLx && inLy == outLy);
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int inWrap = image_traits<ImgIn>::wrap(imgIn),
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outWrap = image_traits<ImgOut>::wrap(imgOut);
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// Allocate an intermediate line of pixels to store sum values
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tcg::unique_ptr<PixSum[]> sums(new PixSum[inLy]);
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// Filter columns
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for (int x = 0; x != inLx; ++x) {
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PtrIn lineIn = image_traits<ImgIn>::pixel(imgIn, x, 0);
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PtrOut lineOut = image_traits<ImgOut>::pixel(imgOut, x, 0);
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_flatFilterLine(lineIn, lineOut, inLy, inWrap, outWrap, radius, sums.get());
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}
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}
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//----------------------------------------------------------------------
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template <typename ImgIn, typename ImgOut, typename SelectorFunc,
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typename Scalar>
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void blurCols(const ImgIn &imgIn, ImgOut &imgOut, int radius,
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SelectorFunc selector, Scalar) {
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typedef typename image_traits<ImgIn>::pixel_ptr_type PtrIn;
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typedef typename image_traits<ImgOut>::pixel_ptr_type PtrOut;
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typedef tcg::Pixel<Scalar, typename image_traits<ImgIn>::pixel_category>
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PixSum;
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// Validate parameters
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int inLx = image_traits<ImgIn>::width(imgIn),
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inLy = image_traits<ImgIn>::height(imgIn);
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int outLx = image_traits<ImgOut>::width(imgOut),
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outLy = image_traits<ImgOut>::height(imgOut);
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assert(inLx == outLx && inLy == outLy);
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int inWrap = image_traits<ImgIn>::wrap(imgIn),
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outWrap = image_traits<ImgOut>::wrap(imgOut);
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// Allocate an intermediate line of pixels to store sum values
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tcg::unique_ptr<PixSum[]> sums(new PixSum[inLy]);
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tcg::unique_ptr<int[]> counts(new int[inLy]);
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// Filter columns
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for (int x = 0; x != inLx; ++x) {
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PtrIn lineIn = image_traits<ImgIn>::pixel(imgIn, x, 0);
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PtrOut lineOut = image_traits<ImgOut>::pixel(imgOut, x, 0);
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_flatFilterLine(lineIn, lineOut, inLy, inWrap, outWrap, selector, radius,
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sums.get(), counts.get());
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}
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}
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//----------------------------------------------------------------------
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template <typename ImgIn, typename ImgOut, typename Scalar>
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void blur(const ImgIn &imgIn, ImgOut &imgOut, int radius, Scalar) {
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blurRows(imgIn, imgOut, radius, Scalar);
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blurCols(imgOut, imgOut, radius, Scalar);
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}
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//----------------------------------------------------------------------
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template <typename ImgIn, typename ImgOut, typename SelectorFunc,
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typename Scalar>
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void blur(const ImgIn &imgIn, ImgOut &imgOut, int radius, SelectorFunc selector,
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Scalar) {
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blurRows(imgIn, imgOut, radius, selector, Scalar);
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blurCols(imgOut, imgOut, radius, selector, Scalar);
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}
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}
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} // namespace tcg::image_ops
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#endif // TCG_IMAGE_OPS_HPP
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