/*
 * Copyright 2011, Blender Foundation.
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the GNU General Public License
 * as published by the Free Software Foundation; either version 2
 * of the License, or (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, write to the Free Software Foundation,
 * Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
 *
 * Contributor: 
 *		Jeroen Bakker 
 *		Monique Dewanchand
 */

#include "COM_ConvolutionEdgeFilterOperation.h"
#include "BLI_math.h"

ConvolutionEdgeFilterOperation::ConvolutionEdgeFilterOperation() : ConvolutionFilterOperation()
{
	/* pass */
}

void ConvolutionEdgeFilterOperation::executePixel(float output[4], int x, int y, void *data)
{
	float in1[4], in2[4], res1[4] = {0.0}, res2[4] = {0.0};

	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, getWidth() - 1);
	CLAMP(x2, 0, getWidth() - 1);
	CLAMP(x3, 0, getWidth() - 1);
	CLAMP(y1, 0, getHeight() - 1);
	CLAMP(y2, 0, getHeight() - 1);
	CLAMP(y3, 0, getHeight() - 1);
	
	float value[4];
	this->m_inputValueOperation->read(value, x2, y2, NULL);
	float mval = 1.0f - value[0];

	this->m_inputOperation->read(in1, x1, y1, NULL);
	madd_v3_v3fl(res1, in1, this->m_filter[0]);
	madd_v3_v3fl(res2, in1, this->m_filter[0]);
	
	this->m_inputOperation->read(in1, x2, y1, NULL);
	madd_v3_v3fl(res1, in1, this->m_filter[1]);
	madd_v3_v3fl(res2, in1, this->m_filter[3]);
	
	this->m_inputOperation->read(in1, x3, y1, NULL);
	madd_v3_v3fl(res1, in1, this->m_filter[2]);
	madd_v3_v3fl(res2, in1, this->m_filter[6]);
	
	this->m_inputOperation->read(in1, x1, y2, NULL);
	madd_v3_v3fl(res1, in1, this->m_filter[3]);
	madd_v3_v3fl(res2, in1, this->m_filter[1]);
	
	this->m_inputOperation->read(in2, x2, y2, NULL);
	madd_v3_v3fl(res1, in2, this->m_filter[4]);
	madd_v3_v3fl(res2, in2, this->m_filter[4]);
	
	this->m_inputOperation->read(in1, x3, y2, NULL);
	madd_v3_v3fl(res1, in1, this->m_filter[5]);
	madd_v3_v3fl(res2, in1, this->m_filter[7]);
	
	this->m_inputOperation->read(in1, x1, y3, NULL);
	madd_v3_v3fl(res1, in1, this->m_filter[6]);
	madd_v3_v3fl(res2, in1, this->m_filter[2]);
	
	this->m_inputOperation->read(in1, x2, y3, NULL);
	madd_v3_v3fl(res1, in1, this->m_filter[7]);
	madd_v3_v3fl(res2, in1, this->m_filter[5]);
	
	this->m_inputOperation->read(in1, x3, y3, NULL);
	madd_v3_v3fl(res1, in1, this->m_filter[8]);
	madd_v3_v3fl(res2, in1, this->m_filter[8]);
	
	output[0] = sqrt(res1[0] * res1[0] + res2[0] * res2[0]);
	output[1] = sqrt(res1[1] * res1[1] + res2[1] * res2[1]);
	output[2] = sqrt(res1[2] * res1[2] + res2[2] * res2[2]);
	
	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] = in2[3];
}
