Differential D2592 Diff 8522 intern/cycles/filter/filter_nlm_cpu.h

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intern/cycles/filter/filter_nlm_cpu.h

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				/*
				* Copyright 2011-2017 Blender Foundation
				*
				* Licensed under the Apache License, Version 2.0 (the "License");
				* you may not use this file except in compliance with the License.
				* You may obtain a copy of the License at
				*
				* http://www.apache.org/licenses/LICENSE-2.0
				*
				* Unless required by applicable law or agreed to in writing, software
				* distributed under the License is distributed on an "AS IS" BASIS,
				* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
				* See the License for the specific language governing permissions and
				* limitations under the License.
				*/

				#define REFERENCE_NLM

				CCL_NAMESPACE_BEGIN

				ccl_device_inline void kernel_filter_nlm_calc_difference(int dx, int dy, float ccl_readonly_ptr weightImage, float ccl_readonly_ptr varianceImage, float *differenceImage, int4 rect, int w, int channel_offset, float a, float k_2)
				{
				for(int y = rect.y; y < rect.w; y++) {
				for(int x = rect.x; x < rect.z; x++) {
				float diff = 0.0f;
				int numChannels = channel_offset? 3 : 1;
				for(int c = 0; c < numChannels; c++) {
				float cdiff = weightImage[cchannel_offset + yw+x] - weightImage[cchannel_offset + (y+dy)w+(x+dx)];
				float pvar = varianceImage[cchannel_offset + yw+x];
				float qvar = varianceImage[cchannel_offset + (y+dy)w+(x+dx)];
				diff += (cdiffcdiff - a(pvar + min(pvar, qvar))) / (1e-8f + k_2*(pvar+qvar));
				}
				if(numChannels > 1) {
				diff *= 1.0f/numChannels;
				}
				differenceImage[y*w+x] = diff;
				}
				}
				}

				ccl_device_inline void kernel_filter_nlm_blur(float ccl_readonly_ptr differenceImage, float *outImage, int4 rect, int w, int f)
				{
				#ifdef __KERNEL_SSE3__
				int aligned_lowx = (rect.x & ~(3));
				int aligned_highx = ((rect.z + 3) & ~(3));
				#endif
				for(int y = rect.y; y < rect.w; y++) {
				const int low = max(rect.y, y-f);
				const int high = min(rect.w, y+f+1);
				for(int x = rect.x; x < rect.z; x++) {
				outImage[y*w+x] = 0.0f;
				}
				for(int y1 = low; y1 < high; y1++) {
				#ifdef __KERNEL_SSE3__
				for(int x = aligned_lowx; x < aligned_highx; x+=4) {
				_mm_store_ps(outImage + yw+x, _mm_add_ps(_mm_load_ps(outImage + yw+x), _mm_load_ps(differenceImage + y1*w+x)));
				}
				#else
				for(int x = rect.x; x < rect.z; x++) {
				outImage[yw+x] += differenceImage[y1w+x];
				}
				#endif
				}
				for(int x = rect.x; x < rect.z; x++) {
				outImage[yw+x] = 1.0f/(high - low);
				}
				}
				}

				ccl_device_inline void kernel_filter_nlm_calc_weight(float ccl_readonly_ptr differenceImage, float *outImage, int4 rect, int w, int f)
				{
				for(int y = rect.y; y < rect.w; y++) {
				for(int x = rect.x; x < rect.z; x++) {
				outImage[y*w+x] = 0.0f;
				}
				}
				for(int dx = -f; dx <= f; dx++) {
				int pos_dx = max(0, dx);
				int neg_dx = min(0, dx);
				for(int y = rect.y; y < rect.w; y++) {
				for(int x = rect.x-neg_dx; x < rect.z-pos_dx; x++) {
				outImage[yw+x] += differenceImage[yw+dx+x];
				}
				}
				}
				for(int y = rect.y; y < rect.w; y++) {
				for(int x = rect.x; x < rect.z; x++) {
				const int low = max(rect.x, x-f);
				const int high = min(rect.z, x+f+1);
				outImage[yw+x] = expf(-max(outImage[yw+x] * (1.0f/(high - low)), 0.0f));
				}
				}
				}

				ccl_device_inline void kernel_filter_nlm_update_output(int dx, int dy, float ccl_readonly_ptr differenceImage, float ccl_readonly_ptr image, float outImage, float accumImage, int4 rect, int w, int f)
				{
				for(int y = rect.y; y < rect.w; y++) {
				for(int x = rect.x; x < rect.z; x++) {
				const int low = max(rect.x, x-f);
				const int high = min(rect.z, x+f+1);
				float sum = 0.0f;
				for(int x1 = low; x1 < high; x1++) {
				sum += differenceImage[y*w+x1];
				}
				float weight = sum * (1.0f/(high - low));
				accumImage[y*w+x] += weight;
				outImage[yw+x] += weightimage[(y+dy)*w+(x+dx)];
				}
				}
				}

				ccl_device_inline void kernel_filter_nlm_construct_gramian(int dx, int dy,
				float ccl_readonly_ptr differenceImage,
				float ccl_readonly_ptr buffer,
				float *color_pass,
				float *variance_pass,
				float *transform,
				int *rank,
				float *XtWX,
				float3 *XtWY,
				int4 rect,
				int4 filter_rect,
				int w, int h, int f,
				int pass_stride)
				{
				/* fy and fy are in filter-window-relative coordinates, while x and y are in feature-window-relative coordinates. */
				for(int fy = max(0, rect.y-filter_rect.y); fy < min(filter_rect.w, rect.w-filter_rect.y); fy++) {
				int y = fy + filter_rect.y;
				for(int fx = max(0, rect.x-filter_rect.x); fx < min(filter_rect.z, rect.z-filter_rect.x); fx++) {
				int x = fx + filter_rect.x;
				const int low = max(rect.x, x-f);
				const int high = min(rect.z, x+f+1);
				float sum = 0.0f;
				for(int x1 = low; x1 < high; x1++) {
				sum += differenceImage[y*w+x1];
				}
				float weight = sum * (1.0f/(high - low));

				int storage_ofs = fy*filter_rect.z + fx;
				float l_transform = transform + storage_ofsDENOISE_FEATURES*DENOISE_FEATURES;
				float l_XtWX = XtWX + storage_ofsXTWX_SIZE;
				float3 l_XtWY = XtWY + storage_ofsXTWY_SIZE;
				int *l_rank = rank + storage_ofs;

				kernel_filter_construct_gramian(x, y, 1,
				dx, dy, w, h,
				pass_stride,
				buffer,
				color_pass, variance_pass,
				l_transform, l_rank,
				weight, l_XtWX, l_XtWY, 0);
				}
				}
				}

				ccl_device_inline void kernel_filter_nlm_normalize(float *outImage, float ccl_readonly_ptr accumImage, int4 rect, int w)
				{
				for(int y = rect.y; y < rect.w; y++) {
				for(int x = rect.x; x < rect.z; x++) {
				outImage[yw+x] /= accumImage[yw+x];
				}
				}
				}

				CCL_NAMESPACE_END