📄 lblocktoolkit.c
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/*----------------------------------------------------------------------------
// StirMark Benchmark - lblocktoolkit.c
//
// Contents: Routines for block matching
//
// Purpose:
//
// Created: C. Rey, G. Do雛r, J.-L. Dugelay and G. Csurka, Eur閏om, January 2002
//
// Modified:
//
// History:
//
// Copyright (c) 2000-2002, Microsoft Research Ltd , Institut National
// de Recherche en Informatique et Automatique (INRIA), Institut Eur閏om
// and the Integrated Publication and Information Systems Institute at
// GMD - Forschungszentrum Informationstechnik GmbH (GMD-IPSI).
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted for non-commercial research and academic
// use only, provided that the following conditions are met:
//
// - Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer. Each
// individual file must retain its own copyright notice.
//
// - Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions, the following disclaimer and the
// list of contributors in the documentation and/or other materials
// provided with the distribution.
//
// - Modification of the program or portion of it is allowed provided
// that the modified files carry prominent notices stating where and
// when they have been changed. If you do modify this program you
// should send to the contributors a general description of the changes
// and send them a copy of your changes at their request. By sending
// any changes to this program to the contributors, you are granting a
// license on such changes under the same terms and conditions as
// provided in this license agreement. However, the contributors are
// under no obligation to accept your changes.
//
// - All non-commercial advertising materials mentioning features or use
// of this software must display the following acknowledgement:
//
// This product includes software developed by Microsoft Research
// Ltd, Institut National de Recherche en Informatique et Automatique
// (INRIA), Institut Eur閏om and the Integrated Publication and
// Information Systems Institute at GMD - Forschungszentrum
// Informationstechnik GmbH (GMD-IPSI).
//
// - Neither name of Microsoft Research Ltd, INRIA, Eur閏om and GMD-IPSI
// nor the names of their contributors may be used to endorse or
// promote products derived from this software without specific prior
// written permission.
//
// - If you use StirMark Benchmark for your research, please cite:
//
// Fabien A. P. Petitcolas, Martin Steinebach, Fr閐閞ic Raynal, Jana
// Dittmann, Caroline Fontaine, Nazim Fat鑣. A public automated
// web-based evaluation service for watermarking schemes: StirMark
// Benchmark. In Ping Wah Wong and Edward J. Delp, editors,
// proceedings of electronic imaging, security and watermarking of
// multimedia contents III, vol. 4314, San Jose, California, U.S.A.,
// 20-26 January 2001. The Society for imaging science and
// technology (I.S.&T.) and the international Society for optical
// engineering (SPIE). ISSN 0277-786X.
//
// and
//
// Fabien A. P. Petitcolas. Watermarking schemes
// evaluation. I.E.E.E. Signal Processing, vol. 17, no. 5,
// pp. 58-64, September 2000.
//
// THIS SOFTWARE IS NOT INTENDED FOR ANY COMMERCIAL APPLICATION AND IS
// PROVIDED BY MICROSOFT RESEARCH LTD, INRIA, EUR蒀OM, GMD-IPSI AND
// CONTRIBUTORS 'AS IS', WITH ALL FAULTS AND ANY EXPRESS OR IMPLIED
// REPRESENTATIONS OR WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY AND FITNESS
// FOR A PARTICULAR PURPOSE, TITLE OR NONINFRINGEMENT OF INTELLECTUAL
// PROPERTY ARE DISCLAIMED. IN NO EVENT SHALL MICROSOFT RESEARCH LTD,
// INRIA, EUR蒀OM, GMD-IPSI OR THEIR CONTRIBUTORS BE LIABLE FOR ANY
// DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
// GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER
// IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
// OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
// ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// THE USE OF THIS SOFTWARE FOR CIRCUMVENTING WITHOUT AUTHORITY ANY
// EFFECTIVE TECHNOLOGICAL MEASURES DESIGNED TO PROTECT ANY COPYRIGHTS OR
// ANY RIGHTS RELATED TO COPYRIGHT AS PROVIDED BY LAW OR THE SUI GENERIS
// RIGHT PROVIDED BY SOME COUNTRIES IS STRICTLY PROHIBITED.
//
// $Header: /home/cvs/StirmarkBench/StirMark_Bench/SignalProcessing/SelfSimilarities/lblocktoolkit.c,v 1.2 2002/04/19 10:23:58 petitcolas Exp $
//----------------------------------------------------------------------------
*/
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include "SelfSimilarities.h"
#include "lib_kadv_codec.h"
block *BlockAlloc(int x_max,int y_max){
block *blck;
if((blck = (block *)malloc(x_max*y_max*sizeof(block))) == NULL){
fprintf(stderr,"BlockAlloc: pb de place memoire\n");
exit(1);
}
return blck;
}
void BlockGet(image *img_in,int x_max,int dim_b_h, int dim_b_v,int index,block *block_out){
/* block_out MUST be ALREADY allocated */
int x;
int y;
for(y=0 ; y < dim_b_v; y++){
for(x=0; x < dim_b_h; x++){
block_out[x + y*dim_b_h] =(block) img_in[index + x + y*x_max];
}
}
}
void BlockErrorGet(ERROR_TYPE *img_in,int x_max,int dim_b,int index,ERROR_TYPE *block_out){
/* block_out MUST be ALREADY allocated */
int x;
int y;
for(y=0 ; y < dim_b; y++) {
for(x=0; x < dim_b; x++) {
block_out[x + y*dim_b] =(block) img_in[index + x + y*x_max];
}
}
}
void BlockPut(block *block_in,int x_max,int dim_b,int index,image *img_inout){
int x;
int y;
for(y=0; y < dim_b; y++){
for(x=0; x < dim_b; x++){
if (block_in[x+y*dim_b] != -1)
img_inout[index +x +y*x_max] = block_in[x+y*dim_b];
}
}
/*for (x = 0; x < 192; x++)
img_inout[index+MASQUE[x]%16+MASQUE[x]/16*x_max] = block_in[MASQUE[x]];*/
}
void BlockAdd(double *block_in,int x_max,int dim_b,int index,double *img_inout){
int x;
int y;
for(y=0; y < dim_b; y++){
for(x=0; x < dim_b; x++){
img_inout[index + x+y*x_max] += block_in[x+y*dim_b];
}
}
}
void BlockErrorPut(ERROR_TYPE *block_in,int x_max,int dim_b,int index,ERROR_TYPE *img_inout){
int x;
int y;
for(y=0; y < dim_b; y++){
for(x=0; x < dim_b; x++){
img_inout[index +x +y*x_max] = block_in[x+y*dim_b];
}
}
}
void BlockErrorPutMin(ERROR_TYPE *block_in,int x_max,int dim_b,int index,ERROR_TYPE *img_inout){
int x;
int y;
/* int randnum; */
for(y=0; y < dim_b; y++){
for(x=0; x < dim_b; x++){
/* randnum = rand()%2; */
if (img_inout[index +x +y*x_max] == 0 || abs(img_inout[index +x +y*x_max]) > abs(block_in[x+y*dim_b]))
img_inout[index +x +y*x_max] = block_in[x+y*dim_b];
/*else
img_inout[index +x +y*x_max] = (short int)((img_inout[index +x +y*x_max]+block_in[x+y*dim_b])/2);*/
}
}
}
void BlockCopy(block *block_in, int dim, block *block_out){
int k;
int maxlenght =dim*dim;
for(k=0; k < maxlenght; k++){
block_out[k]=block_in[k];
}
}
void BlockAddCst(block *block_data, int dim, int cste){
int i;
for(i=0; i < (dim * dim); i++)
block_data[i] += cste;
}
void BlockPutMin(block *r,block *d_reduce, int w_orig,int dim_r,int index ,image * attracteur){
int x;
int y;
/* attracteur[index +dim_r/2+dim_r/2*w_orig] = d_reduce[(dim_r*dim_r)/2]; */
for(y=1; y < dim_r-1; y++) {
for(x=1; x < dim_r-1; x++){
if (attracteur[index +x +y*w_orig] == 0 || abs(r[x+y*dim_r]-attracteur[index +x +y*w_orig]) > abs(r[x+y*dim_r]-d_reduce[x+y*dim_r]))
attracteur[index +x +y*w_orig] = d_reduce[x+y*dim_r];
/*else
img_inout[index +x +y*x_max] = (short int)((img_inout[index +x +y*x_max]+block_in[x+y*dim_b])/2);*/
}
}
}
void BlockBlur(block *orig, int dim, block *blur, int size){
int i, j;
int x, y;
int tmp;
int currentX;
int currentY;
int offsetX = (size-1) / 2;
int offsetY = (size-1) / 2;
for (i=0;i<dim;i++){
for (j=0;j<dim;j++){
tmp = 0;
for (x=0;x<size;x++){
currentX = i + x - offsetX;
if (currentX < 0)
currentX = -currentX;
else if (currentX >= dim)
currentX = 2*dim - currentX - 2;
for (y=0;y<size;y++){
currentY = j + y - offsetY;
if (currentY < 0)
currentY = -currentY;
else if (currentY >= dim)
currentY = 2*dim - currentY - 2;
tmp += orig[currentX*dim + currentY];
}
}
blur[i*dim+j] = (block)(tmp/(size*size));
}
}
}
void BlockMasque(block *block_in, int dim_r,double *block_out){
int i;
for(i = 0; i < DIM_MASK; i++)
block_out[i] = (double)block_in[i] * MASQUE[i];
}
void BlockAddMasque(double *mask,int x_max,int dim_b,int index){
int x;
int y;
for(y=0; y < dim_b; y++){
for(x=0; x < dim_b; x++){
mask[index +x+y*x_max] += MASQUE[x+y*dim_b];
}
}
}
void BlockChoise(block *block_orig, block *block_spa, int dim_r,block *block_dct){
int i;
int err_moy_spa, err_moy_dct;
err_moy_spa =0;
err_moy_dct =0;
for (i = 0; i <dim_r*dim_r; i++) {
err_moy_spa += abs(block_orig[i]-block_spa[i]);
err_moy_dct += abs(block_orig[i]-block_dct[i]);
}
if (err_moy_spa < err_moy_dct)
for (i = 0; i <dim_r*dim_r; i++) {
block_dct[i]=block_spa[i];
}
}
double BlockMean(block *block_in, int dim_r){
int i, somme=0;
for (i = 0; i <dim_r*dim_r; i++)
somme+=block_in[i];
return((double)somme/(dim_r*dim_r));
}
double BlockVar(block *block_in, int dim_r, double mean){
int i, somme=0;
for (i = 0; i <dim_r*dim_r; i++)
somme+=block_in[i]*block_in[i];
return(sqrt((double)somme/(dim_r*dim_r)-mean*mean));
}
int BlockType(block *block_in, int dim_r, double *var){
int dims2,somme=0, tip;
double mean, smean, svar;
block * sous_block;
mean=BlockMean(block_in,dim_r);
*var=BlockVar(block_in, dim_r, mean);
dims2=dim_r/2;
sous_block = BlockAlloc(dims2 ,dims2);
BlockGet(block_in,dim_r ,dims2,dims2,0,sous_block);
smean=BlockMean(sous_block,dims2);
svar=BlockVar(sous_block, dims2, smean);
if (svar < 15) somme++;
sous_block = BlockAlloc(dims2 ,dims2);
BlockGet(block_in,dim_r ,dims2,dims2,dims2,sous_block);
smean=BlockMean(sous_block,dims2);
svar=BlockVar(sous_block, dims2, smean);
if (svar < 15) somme++;
sous_block = BlockAlloc(dims2 ,dims2);
BlockGet(block_in,dim_r ,dims2,dims2,dims2*dim_r,sous_block);
smean=BlockMean(sous_block,dims2);
svar=BlockVar(sous_block, dims2, smean);
if (svar < 15) somme++;
sous_block = BlockAlloc(dims2 ,dims2);
BlockGet(block_in,dim_r ,dims2,dims2,dims2+dims2*dim_r,sous_block);
smean=BlockMean(sous_block,dims2);
svar=BlockVar(sous_block, dims2, smean);
if (svar < 15) somme++;
if (*var < 15) tip= 1; /* smooth region */
else if (somme >=2)
tip =2; /* contour with smooth region */
else
tip =3; /* texture */
return(tip);
}
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