Differential D2592 Diff 8686 intern/cycles/kernel/filter/filter_nlm_gpu.h

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intern/cycles/kernel/filter/filter_nlm_gpu.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.
				*/

				CCL_NAMESPACE_BEGIN

				ccl_device_inline void kernel_filter_nlm_calc_difference(int x, int y,
				int dx, int dy,
				ccl_global float ccl_readonly_ptr weightImage,
				ccl_global float ccl_readonly_ptr varianceImage,
				ccl_global float *differenceImage,
				int4 rect, int w,
				int channel_offset,
				float a, float k_2)
				{
				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(int x, int y,
				ccl_global float ccl_readonly_ptr differenceImage,
				ccl_global float *outImage,
				int4 rect, int w, int f)
				{
				float sum = 0.0f;
				const int low = max(rect.y, y-f);
				const int high = min(rect.w, y+f+1);
				for(int y1 = low; y1 < high; y1++) {
				sum += differenceImage[y1*w+x];
				}
				sum *= 1.0f/(high-low);
				outImage[y*w+x] = sum;
				}

				ccl_device_inline void kernel_filter_nlm_calc_weight(int x, int y,
				ccl_global float ccl_readonly_ptr differenceImage,
				ccl_global float *outImage,
				int4 rect, int w, int f)
				{
				float sum = 0.0f;
				const int low = max(rect.x, x-f);
				const int high = min(rect.z, x+f+1);
				for(int x1 = low; x1 < high; x1++) {
				sum += differenceImage[y*w+x1];
				}
				sum *= 1.0f/(high-low);
				outImage[y*w+x] = expf(-max(sum, 0.0f));
				}

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

				ccl_device_inline void kernel_filter_nlm_construct_gramian(int fx, int fy,
				int dx, int dy,
				ccl_global float ccl_readonly_ptr differenceImage,
				ccl_global float ccl_readonly_ptr buffer,
				ccl_global float *color_pass,
				ccl_global float *variance_pass,
				ccl_global float ccl_readonly_ptr transform,
				ccl_global int *rank,
				ccl_global float *XtWX,
				ccl_global float3 *XtWY,
				int4 rect,
				int4 filter_rect,
				int w, int h, int f,
				int pass_stride,
				int localIdx)
				{
				int y = fy + filter_rect.y;
				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;
				transform += storage_ofs;
				rank += storage_ofs;
				XtWX += storage_ofs;
				XtWY += storage_ofs;

				kernel_filter_construct_gramian(x, y,
				filter_rect.z*filter_rect.w,
				dx, dy, w, h,
				pass_stride,
				buffer,
				color_pass, variance_pass,
				transform, rank,
				weight, XtWX, XtWY,
				localIdx);
				}

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

				CCL_NAMESPACE_END