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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
#define load4_a(buf, ofs) (*((float4*) ((buf) + (ofs))))
#define load4_u(buf, ofs) load_float4((buf)+(ofs))
ccl_device_inline void kernel_filter_nlm_calc_difference(int dx, int dy,
const float *ccl_restrict weight_image,
const float *ccl_restrict variance_image,
float *difference_image,
int4 rect,
int stride,
int channel_offset,
float a,
float k_2)
{
/* Strides need to be aligned to 16 bytes. */
kernel_assert((stride % 4) == 0 && (channel_offset % 4) == 0);
int aligned_lowx = rect.x & (~3);
const int numChannels = (channel_offset > 0)? 3 : 1;
const float4 channel_fac = make_float4(1.0f / numChannels);
for(int y = rect.y; y < rect.w; y++) {
int idx_p = y*stride + aligned_lowx;
int idx_q = (y+dy)*stride + aligned_lowx + dx;
for(int x = aligned_lowx; x < rect.z; x += 4, idx_p += 4, idx_q += 4) {
float4 diff = make_float4(0.0f);
for(int c = 0, chan_ofs = 0; c < numChannels; c++, chan_ofs += channel_offset) {
/* idx_p is guaranteed to be aligned, but idx_q isn't. */
float4 color_p = load4_a(weight_image, idx_p + chan_ofs);
float4 color_q = load4_u(weight_image, idx_q + chan_ofs);
float4 cdiff = color_p - color_q;
float4 var_p = load4_a(variance_image, idx_p + chan_ofs);
float4 var_q = load4_u(variance_image, idx_q + chan_ofs);
diff += (cdiff*cdiff - a*(var_p + min(var_p, var_q))) / (make_float4(1e-8f) + k_2*(var_p+var_q));
}
load4_a(difference_image, idx_p) = diff*channel_fac;
}
}
}
ccl_device_inline void kernel_filter_nlm_blur(const float *ccl_restrict difference_image,
float *out_image,
int4 rect,
int stride,
int f)
{
int aligned_lowx = round_down(rect.x, 4);
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 = aligned_lowx; x < rect.z; x += 4) {
load4_a(out_image, y*stride + x) = make_float4(0.0f);
}
for(int y1 = low; y1 < high; y1++) {
for(int x = aligned_lowx; x < rect.z; x += 4) {
load4_a(out_image, y*stride + x) += load4_a(difference_image, y1*stride + x);
}
}
float fac = 1.0f/(high - low);
for(int x = aligned_lowx; x < rect.z; x += 4) {
load4_a(out_image, y*stride + x) *= fac;
}
}
}
ccl_device_inline void nlm_blur_horizontal(const float *ccl_restrict difference_image,
float *out_image,
int4 rect,
int stride,
int f)
{
int aligned_lowx = round_down(rect.x, 4);
for(int y = rect.y; y < rect.w; y++) {
for(int x = aligned_lowx; x < rect.z; x += 4) {
load4_a(out_image, y*stride + x) = make_float4(0.0f);
}
}
for(int dx = -f; dx <= f; dx++) {
aligned_lowx = round_down(rect.x - min(0, dx), 4);
int highx = rect.z - max(0, dx);
int4 lowx4 = make_int4(rect.x - min(0, dx));
int4 highx4 = make_int4(rect.z - max(0, dx));
for(int y = rect.y; y < rect.w; y++) {
for(int x = aligned_lowx; x < highx; x += 4) {
int4 x4 = make_int4(x) + make_int4(0, 1, 2, 3);
int4 active = (x4 >= lowx4) & (x4 < highx4);
float4 diff = load4_u(difference_image, y*stride + x + dx);
load4_a(out_image, y*stride + x) += mask(active, diff);
}
}
}
aligned_lowx = round_down(rect.x, 4);
for(int y = rect.y; y < rect.w; y++) {
for(int x = aligned_lowx; x < rect.z; x += 4) {
float4 x4 = make_float4(x) + make_float4(0.0f, 1.0f, 2.0f, 3.0f);
float4 low = max(make_float4(rect.x), x4 - make_float4(f));
float4 high = min(make_float4(rect.z), x4 + make_float4(f+1));
load4_a(out_image, y*stride + x) *= rcp(high - low);
}
}
}
ccl_device_inline void kernel_filter_nlm_calc_weight(const float *ccl_restrict difference_image,
float *out_image,
int4 rect,
int stride,
int f)
{
nlm_blur_horizontal(difference_image, out_image, rect, stride, f);
int aligned_lowx = round_down(rect.x, 4);
for(int y = rect.y; y < rect.w; y++) {
for(int x = aligned_lowx; x < rect.z; x += 4) {
load4_a(out_image, y*stride + x) = fast_expf4(-max(load4_a(out_image, y*stride + x), make_float4(0.0f)));
}
}
}
ccl_device_inline void kernel_filter_nlm_update_output(int dx, int dy,
const float *ccl_restrict difference_image,
const float *ccl_restrict image,
float *temp_image,
float *out_image,
float *accum_image,
int4 rect,
int stride,
int f)
{
nlm_blur_horizontal(difference_image, temp_image, rect, stride, f);
int aligned_lowx = round_down(rect.x, 4);
for(int y = rect.y; y < rect.w; y++) {
for(int x = aligned_lowx; x < rect.z; x += 4) {
int4 x4 = make_int4(x) + make_int4(0, 1, 2, 3);
int4 active = (x4 >= make_int4(rect.x)) & (x4 < make_int4(rect.z));
int idx_p = y*stride + x, idx_q = (y+dy)*stride + (x+dx);
float4 weight = load4_a(temp_image, idx_p);
load4_a(accum_image, idx_p) += mask(active, weight);
float4 val = load4_u(image, idx_q);
load4_a(out_image, idx_p) += mask(active, weight*val);
}
}
}
ccl_device_inline void kernel_filter_nlm_construct_gramian(int dx, int dy,
const float *ccl_restrict difference_image,
const float *ccl_restrict buffer,
float *transform,
int *rank,
float *XtWX,
float3 *XtWY,
int4 rect,
int4 filter_window,
int stride, int f,
int pass_stride)
{
int4 clip_area = rect_clip(rect, filter_window);
/* fy and fy are in filter-window-relative coordinates, while x and y are in feature-window-relative coordinates. */
for(int y = clip_area.y; y < clip_area.w; y++) {
for(int x = clip_area.x; x < clip_area.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 += difference_image[y*stride + x1];
}
float weight = sum * (1.0f/(high - low));
int storage_ofs = coord_to_local_index(filter_window, x, y);
float *l_transform = transform + storage_ofs*TRANSFORM_SIZE;
float *l_XtWX = XtWX + storage_ofs*XTWX_SIZE;
float3 *l_XtWY = XtWY + storage_ofs*XTWY_SIZE;
int *l_rank = rank + storage_ofs;
kernel_filter_construct_gramian(x, y, 1,
dx, dy,
stride,
pass_stride,
buffer,
l_transform, l_rank,
weight, l_XtWX, l_XtWY, 0);
}
}
}
ccl_device_inline void kernel_filter_nlm_normalize(float *out_image,
const float *ccl_restrict accum_image,
int4 rect,
int w)
{
for(int y = rect.y; y < rect.w; y++) {
for(int x = rect.x; x < rect.z; x++) {
out_image[y*w+x] /= accum_image[y*w+x];
}
}
}
#undef load4_a
#undef load4_u
CCL_NAMESPACE_END
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