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/* SPDX-License-Identifier: GPL-2.0-or-later
* Copyright 2011 Blender Foundation. */
#include "COM_ConvolutionFilterOperation.h"
namespace blender::compositor {
ConvolutionFilterOperation::ConvolutionFilterOperation()
{
this->add_input_socket(DataType::Color);
this->add_input_socket(DataType::Value);
this->add_output_socket(DataType::Color);
this->set_canvas_input_index(0);
input_operation_ = nullptr;
flags_.complex = true;
}
void ConvolutionFilterOperation::init_execution()
{
input_operation_ = this->get_input_socket_reader(0);
input_value_operation_ = this->get_input_socket_reader(1);
}
void ConvolutionFilterOperation::set3x3Filter(
float f1, float f2, float f3, float f4, float f5, float f6, float f7, float f8, float f9)
{
filter_[0] = f1;
filter_[1] = f2;
filter_[2] = f3;
filter_[3] = f4;
filter_[4] = f5;
filter_[5] = f6;
filter_[6] = f7;
filter_[7] = f8;
filter_[8] = f9;
filter_height_ = 3;
filter_width_ = 3;
}
void ConvolutionFilterOperation::deinit_execution()
{
input_operation_ = nullptr;
input_value_operation_ = nullptr;
}
void ConvolutionFilterOperation::execute_pixel(float output[4], int x, int y, void * /*data*/)
{
float in1[4];
float in2[4];
int x1 = x - 1;
int x2 = x;
int x3 = x + 1;
int y1 = y - 1;
int y2 = y;
int y3 = y + 1;
CLAMP(x1, 0, get_width() - 1);
CLAMP(x2, 0, get_width() - 1);
CLAMP(x3, 0, get_width() - 1);
CLAMP(y1, 0, get_height() - 1);
CLAMP(y2, 0, get_height() - 1);
CLAMP(y3, 0, get_height() - 1);
float value[4];
input_value_operation_->read(value, x2, y2, nullptr);
const float mval = 1.0f - value[0];
zero_v4(output);
input_operation_->read(in1, x1, y1, nullptr);
madd_v4_v4fl(output, in1, filter_[0]);
input_operation_->read(in1, x2, y1, nullptr);
madd_v4_v4fl(output, in1, filter_[1]);
input_operation_->read(in1, x3, y1, nullptr);
madd_v4_v4fl(output, in1, filter_[2]);
input_operation_->read(in1, x1, y2, nullptr);
madd_v4_v4fl(output, in1, filter_[3]);
input_operation_->read(in2, x2, y2, nullptr);
madd_v4_v4fl(output, in2, filter_[4]);
input_operation_->read(in1, x3, y2, nullptr);
madd_v4_v4fl(output, in1, filter_[5]);
input_operation_->read(in1, x1, y3, nullptr);
madd_v4_v4fl(output, in1, filter_[6]);
input_operation_->read(in1, x2, y3, nullptr);
madd_v4_v4fl(output, in1, filter_[7]);
input_operation_->read(in1, x3, y3, nullptr);
madd_v4_v4fl(output, in1, filter_[8]);
output[0] = output[0] * value[0] + in2[0] * mval;
output[1] = output[1] * value[0] + in2[1] * mval;
output[2] = output[2] * value[0] + in2[2] * mval;
output[3] = output[3] * value[0] + in2[3] * mval;
/* Make sure we don't return negative color. */
output[0] = MAX2(output[0], 0.0f);
output[1] = MAX2(output[1], 0.0f);
output[2] = MAX2(output[2], 0.0f);
output[3] = MAX2(output[3], 0.0f);
}
bool ConvolutionFilterOperation::determine_depending_area_of_interest(
rcti *input, ReadBufferOperation *read_operation, rcti *output)
{
rcti new_input;
int addx = (filter_width_ - 1) / 2 + 1;
int addy = (filter_height_ - 1) / 2 + 1;
new_input.xmax = input->xmax + addx;
new_input.xmin = input->xmin - addx;
new_input.ymax = input->ymax + addy;
new_input.ymin = input->ymin - addy;
return NodeOperation::determine_depending_area_of_interest(&new_input, read_operation, output);
}
void ConvolutionFilterOperation::get_area_of_interest(const int input_idx,
const rcti &output_area,
rcti &r_input_area)
{
switch (input_idx) {
case IMAGE_INPUT_INDEX: {
const int add_x = (filter_width_ - 1) / 2 + 1;
const int add_y = (filter_height_ - 1) / 2 + 1;
r_input_area.xmin = output_area.xmin - add_x;
r_input_area.xmax = output_area.xmax + add_x;
r_input_area.ymin = output_area.ymin - add_y;
r_input_area.ymax = output_area.ymax + add_y;
break;
}
case FACTOR_INPUT_INDEX: {
r_input_area = output_area;
break;
}
}
}
void ConvolutionFilterOperation::update_memory_buffer_partial(MemoryBuffer *output,
const rcti &area,
Span<MemoryBuffer *> inputs)
{
const MemoryBuffer *image = inputs[IMAGE_INPUT_INDEX];
const int last_x = get_width() - 1;
const int last_y = get_height() - 1;
for (BuffersIterator<float> it = output->iterate_with(inputs, area); !it.is_end(); ++it) {
const int left_offset = (it.x == 0) ? 0 : -image->elem_stride;
const int right_offset = (it.x == last_x) ? 0 : image->elem_stride;
const int down_offset = (it.y == 0) ? 0 : -image->row_stride;
const int up_offset = (it.y == last_y) ? 0 : image->row_stride;
const float *center_color = it.in(IMAGE_INPUT_INDEX);
zero_v4(it.out);
madd_v4_v4fl(it.out, center_color + down_offset + left_offset, filter_[0]);
madd_v4_v4fl(it.out, center_color + down_offset, filter_[1]);
madd_v4_v4fl(it.out, center_color + down_offset + right_offset, filter_[2]);
madd_v4_v4fl(it.out, center_color + left_offset, filter_[3]);
madd_v4_v4fl(it.out, center_color, filter_[4]);
madd_v4_v4fl(it.out, center_color + right_offset, filter_[5]);
madd_v4_v4fl(it.out, center_color + up_offset + left_offset, filter_[6]);
madd_v4_v4fl(it.out, center_color + up_offset, filter_[7]);
madd_v4_v4fl(it.out, center_color + up_offset + right_offset, filter_[8]);
const float factor = *it.in(FACTOR_INPUT_INDEX);
const float factor_ = 1.0f - factor;
it.out[0] = it.out[0] * factor + center_color[0] * factor_;
it.out[1] = it.out[1] * factor + center_color[1] * factor_;
it.out[2] = it.out[2] * factor + center_color[2] * factor_;
it.out[3] = it.out[3] * factor + center_color[3] * factor_;
/* Make sure we don't return negative color. */
CLAMP4_MIN(it.out, 0.0f);
}
}
} // namespace blender::compositor
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