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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_construct_gramian(int x, int y,
int storage_stride,
int dx, int dy,
int w, int h,
int pass_stride,
const ccl_global float *ccl_restrict buffer,
ccl_global float *color_pass,
ccl_global float *variance_pass,
const ccl_global float *ccl_restrict transform,
ccl_global int *rank,
float weight,
ccl_global float *XtWX,
ccl_global float3 *XtWY,
int localIdx)
{
int p_offset = y *w + x;
int q_offset = (y+dy)*w + (x+dx);
#ifdef __KERNEL_CPU__
const int stride = 1;
(void)storage_stride;
(void)localIdx;
float design_row[DENOISE_FEATURES+1];
#elif defined(__KERNEL_CUDA__)
const int stride = storage_stride;
ccl_local float shared_design_row[(DENOISE_FEATURES+1)*CCL_MAX_LOCAL_SIZE];
ccl_local_param float *design_row = shared_design_row + localIdx*(DENOISE_FEATURES+1);
#else
const int stride = storage_stride;
float design_row[DENOISE_FEATURES+1];
#endif
float3 p_color = filter_get_pixel_color(color_pass + p_offset, pass_stride);
float3 q_color = filter_get_pixel_color(color_pass + q_offset, pass_stride);
float p_std_dev = sqrtf(filter_get_pixel_variance(variance_pass + p_offset, pass_stride));
float q_std_dev = sqrtf(filter_get_pixel_variance(variance_pass + q_offset, pass_stride));
/* If the pixel was flagged as an outlier during prefiltering, skip it.
* Otherwise, perform the regular confidence interval test unless
* the center pixel is an outlier (in that case, using the confidence
* interval test could result in no pixels being used at all). */
bool p_outlier = (ccl_get_feature(buffer + p_offset, 0) < 0.0f);
bool q_outlier = (ccl_get_feature(buffer + q_offset, 0) < 0.0f);
bool outside_of_interval = (average(fabs(p_color - q_color)) > 2.0f*(p_std_dev + q_std_dev + 1e-3f));
if(q_outlier || (!p_outlier && outside_of_interval)) {
return;
}
filter_get_design_row_transform(make_int2(x, y), buffer + p_offset,
make_int2(x+dx, y+dy), buffer + q_offset,
pass_stride, *rank, design_row, transform, stride);
math_trimatrix_add_gramian_strided(XtWX, (*rank)+1, design_row, weight, stride);
math_vec3_add_strided(XtWY, (*rank)+1, design_row, weight * q_color, stride);
}
ccl_device_inline void kernel_filter_finalize(int x, int y, int w, int h,
ccl_global float *buffer,
ccl_global int *rank,
int storage_stride,
ccl_global float *XtWX,
ccl_global float3 *XtWY,
int4 buffer_params,
int sample)
{
#ifdef __KERNEL_CPU__
const int stride = 1;
(void)storage_stride;
#else
const int stride = storage_stride;
#endif
/* The weighted average of pixel colors (essentially, the NLM-filtered image).
* In case the solution of the linear model fails due to numerical issues,
* fall back to this value. */
float3 mean_color = XtWY[0]/XtWX[0];
math_trimatrix_vec3_solve(XtWX, XtWY, (*rank)+1, stride);
float3 final_color = XtWY[0];
if(!isfinite3_safe(final_color)) {
final_color = mean_color;
}
ccl_global float *combined_buffer = buffer + (y*buffer_params.y + x + buffer_params.x)*buffer_params.z;
final_color *= sample;
if(buffer_params.w) {
final_color.x += combined_buffer[buffer_params.w+0];
final_color.y += combined_buffer[buffer_params.w+1];
final_color.z += combined_buffer[buffer_params.w+2];
}
combined_buffer[0] = final_color.x;
combined_buffer[1] = final_color.y;
combined_buffer[2] = final_color.z;
}
#undef STORAGE_TYPE
CCL_NAMESPACE_END
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