static void
render_to_surface (const RENDER * render, SNDFILE *infile, int samplerate, sf_count_t filelen, cairo_surface_t * surface)
{
float ** mag_spec = NULL ; // Indexed by [w][h]
spectrum *spec ;
double max_mag = 0.0 ;
int width, height, w, speclen ;
if (render->border)
{ width = lrint (cairo_image_surface_get_width (surface) - LEFT_BORDER - RIGHT_BORDER) ;
height = lrint (cairo_image_surface_get_height (surface) - TOP_BORDER - BOTTOM_BORDER) ;
}
else
{ width = render->width ;
height = render->height ;
}
if (width < 1)
{ printf ("Error : 'width' parameter must be >= %d\n",
render->border ? (int) (LEFT_BORDER + RIGHT_BORDER) + 1 : 1) ;
exit (1) ;
} ;
if (height < 1)
{ printf ("Error : 'height' parameter must be >= %d\n",
render->border ? (int) (TOP_BORDER + BOTTOM_BORDER) + 1 : 1) ;
exit (1) ;
} ;
/*
** Choose a speclen value, the spectrum length.
** The FFT window size is twice this.
*/
if (render->fft_freq != 0.0)
/* Choose an FFT window size of 1/fft_freq seconds of audio */
speclen = (samplerate / render->fft_freq + 1) / 2 ;
else
/* Long enough to represent frequencies down to 20Hz. */
speclen = height * (samplerate / 20 / height + 1) ;
/* Find the nearest fast value for the FFT size. */
{ int d ; /* difference */
for (d = 0 ; /* Will terminate */ ; d++)
{ /* Logarithmically, the integer above is closer than
** the integer below, so prefer it to the one below.
*/
if (is_good_speclen (speclen + d))
{ speclen += d ;
break ;
}
/* FFT length must also be >= the output height,
** otherwise repeated pixel rows occur in the output.
*/
if (speclen - d >= height && is_good_speclen (speclen - d))
{ speclen -= d ;
break ;
}
}
}
mag_spec = calloc (width, sizeof (float *)) ;
if (mag_spec == NULL)
{ printf ("%s : Not enough memory.\n", __func__) ;
exit (1) ;
} ;
for (w = 0 ; w < width ; w++)
{ if ((mag_spec [w] = calloc (height, sizeof (float))) == NULL)
{ printf ("%s : Not enough memory.\n", __func__) ;
exit (1) ;
} ;
} ;
spec = create_spectrum (speclen, render->window_function) ;
if (spec == NULL)
{ printf ("%s : line %d : create plan failed.\n", __FILE__, __LINE__) ;
exit (1) ;
} ;
for (w = 0 ; w < width ; w++)
{ double single_max ;
read_mono_audio (infile, filelen, spec->time_domain, 2 * speclen, w, width) ;
single_max = calc_magnitude_spectrum (spec) ;
max_mag = MAX (max_mag, single_max) ;
interp_spec (mag_spec [w], height, spec->mag_spec, speclen, render, samplerate) ;
} ;
destroy_spectrum (spec) ;
if (render->border)
{ RECT heat_rect ;
heat_rect.left = 12 ;
heat_rect.top = TOP_BORDER + TOP_BORDER / 2 ;
heat_rect.width = 12 ;
heat_rect.height = height - TOP_BORDER / 2 ;
render_spectrogram (surface, render->spec_floor_db, mag_spec, max_mag, LEFT_BORDER, TOP_BORDER, width, height, render->gray_scale) ;
render_heat_map (surface, render->spec_floor_db, &heat_rect, render->gray_scale) ;
render_spect_border (surface, render->filename, LEFT_BORDER, width, filelen / (1.0 * samplerate), TOP_BORDER, height, render->min_freq, render->max_freq, render->log_freq) ;
render_heat_border (surface, render->spec_floor_db, &heat_rect) ;
}
else
render_spectrogram (surface, render->spec_floor_db, mag_spec, max_mag, 0, 0, width, height, render->gray_scale) ;
for (w = 0 ; w < width ; w++)
free (mag_spec [w]) ;
free (mag_spec) ;
return ;
} /* render_to_surface */
int
main(int argc, char **argv)
{
//int nt; /* number of frequency samples per trace */
int nfft; /* For computing the FFT */
//float dw; /* time sampling interval */
//int i1; /* time sample index */
//int log; /* Check if the trace has had a log applied (for mie scattering) */
int j; /* Other indices */
const double eps = 1.e-32;
kiss_fftr_cfg forw, invs;
/* Variables for Jons example */
float *spectrum = NULL;
float *rspectrum = NULL;
complex *fft = NULL;
int n = 64;
int nw = n/2+1;
float o1 = -M_PI/2;
float d1 = M_PI/n;
nfft = n;
/* hook up getpar */
initargs(argc, argv);
//requestdoc(1);
requestdoc(0); // For now (testing), stdin is not used
/* Allocating memory */
spectrum = ealloc1float((n+1));
rspectrum = ealloc1float((n/2+1));
fft = alloc1complex(nfft/2+1);
forw = kiss_fftr_alloc(nfft,0,NULL,NULL);
invs = kiss_fftr_alloc(nfft,1,NULL,NULL);
if(NULL == forw || NULL == invs)
err("KISS FFT allocation error");
memset( (void *) tr.data, 0, (n+1) * FSIZE);
tr.dt = d1;
tr.f1 = o1;
tr.ns = n;
create_spectrum(n, o1, d1, spectrum);
/* Squaring the spectrum */
j = n/2;
for(int i = 0; i < nw; i++, j++) {
rspectrum[i] = spectrum[j]*spectrum[j];
tr.data[i] = rspectrum[i];
}
fprintf(stderr, "Created input: \n");
for(int i = 0; i < nw; i++) {
fprintf(stderr, "i=%d input=%f\n",i,rspectrum[i]);
}
fprintf(stderr, "\n");
// Take the log and create a complex type
//fprintf(stderr, "Log of spectrum: \n");
for(int i = 0; i < nw; i++) {
fft[i] = cmplx(log(rspectrum[i]+eps)/nfft,0.);
}
//for(int i = 0; i < nw; i++) {
// fprintf(stderr, "i=%d real=%f imag=%f\n",i,fft[i].r,fft[i].i);
//}
//fprintf(stderr, "\n");
// Find the inverse FFT
kiss_fftri(invs,(const kiss_fft_cpx *) fft, tr.data);
tr.data[0] *= 0.5;
tr.data[nfft/2] *= 0.5;
for(int i=1+nfft/2; i < nfft; i++) {
tr.data[i] = 0;
}
kiss_fftr(forw, tr.data, (kiss_fft_cpx *) fft);
for(int i=0; i < nw; i++) {
fft[i] = crmul(cwp_cexp(fft[i]),1./nfft);
}
kiss_fftri(invs,(const kiss_fft_cpx *) fft, tr.data);
float dt = 0.004;
for(int i = 0; i < nfft; i++) {
fprintf(stderr, "i=%d t=%f output=%f\n", i, o1+dt*i, tr.data[i]);
}
puttr(&tr);
return(CWP_Exit());
}
int main(int argc, char **argv){
int opcion; //Opcion para el getopt
int vflag=0, rflag=0, nflag=0, glfag=0, iflag=0, mflag=0, oflag=0; //Flags para el getopt
float r=0.5, g=1.0;
int n=2;
string nombreImagen;
string nombreMascara;
string nombreSalida = "output.png";
Mat imagen, padded, complexImg, filter, filterAux, imagenSalida, filterSalida, imagenFrecuencias, imagenFrecuenciasSinOrden, imagenHSV;
Mat complexAux;
Mat salida;
Mat imagenPasoBaja;
Mat mascara;
vector<Mat> canales;
while((opcion=getopt(argc, argv, "vr:n:g:i:o:m:")) !=-1 ){
switch(opcion){
case 'v':
vflag=1;
break;
case 'r':
rflag=1;
r=atof(optarg);
if(r<0 || r>1){
cout << "Valor de 'r' introducido invalido" << endl;
exit(-1);
}
break;
case 'n':
nflag=1;
n = atoi(optarg);
if(n<0 || n>10){
cout << "Valor de 'n' introducido invalido" << endl;
exit(-1);
}
break;
case 'g':
glfag=1;
g = atof(optarg);
if(g<0.0 || g>5.0){
cout << "Valor de 'g' introducido invalido" << endl;
exit(-1);
}
break;
case 'i':
iflag=1;
nombreImagen = optarg;
break;
case 'm':
mflag=1;
nombreMascara=optarg;
break;
case 'o':
oflag=1;
nombreSalida=optarg;
break;
case '?':
//Algo ha ido mal
help();
exit(-1);
break;
default:
help();
exit(-1);
break;
}
}
//Primero cargaremos la imagen
if(iflag==1){
imagen = imread(nombreImagen, CV_LOAD_IMAGE_ANYDEPTH);
if(imagen.empty()){
cout << "Imagen especificada invalida" << endl;
exit(-1);
}else{
cout << "Imagen cargada con exito" << endl;
if(vflag==1){
namedWindow("Imagen", CV_WINDOW_AUTOSIZE);
imshow("Imagen", imagen);
waitKey(0);
destroyWindow("Imagen");
}
}
}else{
cout << "La imagen es necesaria" << endl;
exit(-1);
}
//Calculamos r
r=(r)*(sqrt(pow((imagen.rows),2.0)+pow((imagen.cols),2.0))/2);
int M = getOptimalDFTSize(imagen.rows);
int N = getOptimalDFTSize(imagen.cols);
//Miramos si tiene mascara para cargarla
if(mflag==1){
//Cargamos la mascara
mascara = imread(nombreMascara, 0);
if(mascara.empty()){
cout << "Mascara especificada invalida" << endl;
exit(-1);
}else{
cout << "Mascara cargada con exito" << endl;
}
}
//Ahora miramos los canales para hacer cosas distintas dependiendo
if(imagen.channels()==1){
//Imagen monocromatica
imagen.convertTo(imagenPasoBaja,CV_32F, 1.0/255.0);
copyMakeBorder(imagenPasoBaja, padded, 0, M-imagenPasoBaja.rows, 0, N - imagenPasoBaja.cols, BORDER_CONSTANT, Scalar::all(0));
Mat planes[] = {Mat_<float>(padded), Mat::zeros(padded.size(), CV_32F)};
merge(planes, 2, complexImg);
dft(complexImg, complexImg);
filter = complexImg.clone();
filterAux = complexImg.clone();
complexAux = complexImg.clone();
shiftDFT(complexImg);
shiftDFT(complexAux);
butterworth(filter, r, n);
butterworth(filterAux, r, 0);
mulSpectrums(complexImg, filter, complexImg, 0);
mulSpectrums(complexAux, filterAux, complexAux, 0);
shiftDFT(complexImg);
shiftDFT(complexAux);
//Falta hacer lo de poder mostrarla
imagenFrecuencias = create_spectrum(complexImg);
imagenFrecuenciasSinOrden = create_spectrum(complexAux);
//Hacemos la inversa
idft(complexImg, complexImg, DFT_SCALE);
split(complexImg, planes);
normalize(planes[0], imagenSalida, 0, 1, CV_MINMAX);
split(filter, planes);
normalize(planes[0], filterSalida, 0, 1, CV_MINMAX);
salida = imagenPasoBaja.clone();
if(mflag==1){
//Con mascara procesaremos pixel por pixel
//Recorremos la imagen
for(int i=0; i<imagen.rows; i++){
for(int j=0; j<imagen.cols;j++){
if(mascara.at<uchar>(i,j)!=0){
salida.at<float>(i,j) = (g+1)*(imagenPasoBaja.at<float>(i,j)) - (g*imagenSalida.at<float>(i,j));
}
}
}
}else{
//Sin mascara lo haremos de forma inmediata
for(int i=0; i<imagen.rows; i++){
for(int j=0; j<imagen.cols;j++){
salida.at<float>(i,j) = ((g+1)*imagenPasoBaja.at<float>(i,j)) - (g*imagenSalida.at<float>(i,j));
}
}
}
salida.convertTo(salida, CV_8U, 255.0, 0.0);
if(vflag==1){
imshow("Imagen final", salida);
imshow("Filtro Butterworth", filterSalida);
imshow("Espectro", imagenFrecuencias);
imshow("Espectro de imagen sin orden", imagenFrecuenciasSinOrden);
waitKey(0);
}
}else{
//Spliteamos la imagen en canales
cvtColor(imagen, imagenHSV, CV_BGR2HSV);
split(imagenHSV, canales);
Mat temporal;
canales[2].convertTo(imagenPasoBaja, CV_32F, 1.0/255.0);
copyMakeBorder(imagenPasoBaja, padded, 0, M-imagenPasoBaja.rows, 0, N - imagenPasoBaja.cols, BORDER_CONSTANT, Scalar::all(0));
Mat planes[] = {Mat_<float>(padded), Mat::zeros(padded.size(), CV_32F)};
merge(planes, 2, complexImg);
dft(complexImg, complexImg);
filter = complexImg.clone();
shiftDFT(complexImg);
butterworth(filter, r, n);
mulSpectrums(complexImg, filter, complexImg, 0);
shiftDFT(complexImg);
//Falta hacer lo de poder mostrarla
imagenFrecuencias = create_spectrum(complexImg);
//Hacemos la inversa
idft(complexImg, complexImg, DFT_SCALE);
split(complexImg, planes);
normalize(planes[0], imagenSalida, 0, 1, CV_MINMAX);
split(filter, planes);
normalize(planes[0], filterSalida, 0, 1, CV_MINMAX);
Mat salida = imagen.clone();
canales[2] = imagenPasoBaja.clone();
if(mflag==1){
//Con mascara
for(int i=0; i<canales[2].rows; i++){
for(int j=0; j<canales[2].cols;j++){
if(mascara.at<uchar>(i,j)!=0){
canales[2].at<float>(i,j) = ((g+1)*imagenPasoBaja.at<float>(i,j)) - (g*imagenSalida.at<float>(i,j));
}
}
}
}else{
//Sin mascara
for(int i=0; i<canales[2].rows; i++){
for(int j=0; j<canales[2].cols;j++){
canales[2].at<float>(i,j) = ((g+1)*imagenPasoBaja.at<float>(i,j)) - (g*imagenSalida.at<float>(i,j));
}
}
}
canales[2].convertTo(canales[2], CV_8U, 255.0, 0.0);
merge(canales, salida);
cvtColor(salida, salida, CV_HSV2BGR);
salida.convertTo(salida, CV_8U, 255.0, 0.0);
if(vflag==1){
imshow("Imagen final", salida);
imshow("Filtro Butterworth", filterSalida);
imshow("Espectro", imagenFrecuencias);
imshow("Espectro de imagen sin orden", imagenFrecuenciasSinOrden);
waitKey(0);
}
}
//Y escribimos la imagen a fichero
imwrite(nombreSalida, salida);
return 0;
}
