start adding image manipulation functions

This commit is contained in:
eddyem 2019-03-30 16:53:58 +03:00
parent 8308cfcf4b
commit 52679fe638
7 changed files with 508 additions and 36 deletions

View File

@ -50,3 +50,128 @@ void FITS_reporterr(int *errcode){
fprintf(stderr, COLOR_OLD);
*errcode = 0;
}
/**
* @brief mktransform - make image intensity transformation
* @param dimg (io) - double image
* @param st (i) - image statistics
* @param transf - type of transformation
* @return NULL if failed
* Be carefull: image should be equalized before some types of transform
*/
doubleimage *mktransform(doubleimage *im, imgstat *st, intens_transform transf){
if(!im || !im->data || !st) return NULL;
double max = st->max, min = st->min;
if((max-min) < 2.*DBL_EPSILON){
WARNX(_("Data range is too small"));
return NULL;
}
double *dimg = im->data;
if(transf == TRANSF_LINEAR) return im; // identity
if(transf == TRANSF_HISTEQ) return NULL; // histogram equalization; TODO: add this option too!
double (*transfn)(double in);
double logtrans(double in){ // logaryphmic
return log(1. + in);
}
double exptrans(double in){ // exponential
return exp(in);
}
double powtrans(double in){ // x^2
return in*in;
}
double sqrtrans(double in){ // square root
return sqrt(in);
}
switch(transf){
case TRANSF_EXP:
transfn = exptrans;
break;
case TRANSF_LOG:
transfn = logtrans;
break;
case TRANSF_POW:
transfn = powtrans;
break;
case TRANSF_SQR:
transfn = sqrtrans;
break;
default: return NULL;
}
size_t totpix = im->totpix;
OMP_FOR()
for(size_t i = 0; i < totpix; ++i){
double d = dimg[i] - min;
dimg[i] = transfn(d);
}
return im;
}
/**
* @brief palette_gray - simplest gray conversion
* @param gray - nornmalized double value
* @param rgb - red, green and blue components
*/
static void palette_gray(double gray, uint8_t *rgb){
rgb[0] = rgb[1] = rgb[2] = (uint8_t)(255.*gray);
}
/**
* @brief palette_BR - palette from blue to red
* @param gray - nornmalized double value
* @param rgb - red, green and blue components
*/
static void palette_BR(double gray, uint8_t *rgb){
int i = (int)(gray * 4.);
double x = gray - (double)i * .25;
uint8_t r = 0, g = 0, b = 0;
switch(i){
case 0:
g = (uint8_t)(255. * x);
b = 255;
break;
case 1:
g = 255;
b = (uint8_t)(255. * (1. - x));
break;
case 2:
r = (uint8_t)(255. * x);
g = 255;
break;
case 3:
r = 255;
g = (uint8_t)(255. * (1. - x));
break;
default:
r = 255;
}
rgb[0] = r;
rgb[1] = g;
rgb[2] = b;
}
typedef void (*palette)(double, uint8_t[3]); // pointer to palette function
static palette palette_F[PALETTE_COUNT] = {
[PALETTE_GRAY] = palette_gray,
[PALETTE_BR] = palette_BR
};
/**
* @brief convert2palette - convert normalized double image into colour using some palette
* @param im (i) - image to convert
* @param cmap - palette (colormap) used
* @return allocated here array with color image
*/
uint8_t *convert2palette(doubleimage *im, image_palette cmap){
if(!im || !im->data || cmap < 0 || cmap >= PALETTE_COUNT) return NULL;
palette impalette = palette_F[cmap];
size_t totpix = im->totpix;
if(totpix == 0) return NULL;
double *inarr = im->data;
uint8_t *colored = MALLOC(uint8_t, totpix * 3);
initomp();
OMP_FOR()
for(size_t i = 0; i < totpix; ++i){
impalette(inarr[i], &colored[i*3]);
}
return colored;
}

View File

@ -102,6 +102,40 @@ typedef struct{
void *data; // picture data
} FITSimage;
// 2-dimensional image data as double value
typedef struct{
size_t height;
size_t width;
size_t totpix;
double *data;
} doubleimage;
// simplest statistics
typedef struct{
double mean;
double std;
double min;
double max;
} imgstat;
// type of intensity transformation
typedef enum{
TRANSF_WRONG = 0,
TRANSF_LINEAR,
TRANSF_LOG,
TRANSF_EXP,
TRANSF_POW,
TRANSF_SQR,
TRANSF_HISTEQ
} intens_transform;
// different color maps
typedef enum{
PALETTE_GRAY = 0,
PALETTE_BR,
PALETTE_COUNT
} image_palette;
typedef union{
FITSimage *image;
FITStable *table;
@ -163,7 +197,10 @@ void *image_data_malloc(long totpix, int pxbytes);
FITSimage *image_new(int naxis, long *naxes, int bitpix);
FITSimage *image_mksimilar(FITSimage *in);
FITSimage *image_copy(FITSimage *in);
double *image2double(FITSimage *img);
void dblima_free(doubleimage **im);
doubleimage *image2double(FITSimage *img);
imgstat *get_imgstat(const doubleimage *dimg, imgstat *est);
doubleimage *normalize_dbl(doubleimage *dimg, imgstat *st);
//FITSimage *image_build(size_t h, size_t w, int dtype, uint8_t *indata);
/**************************************************************************************
@ -176,13 +213,15 @@ FITS *FITS_open(char *filename);
bool FITS_write(char *filename, FITS *fits);
bool FITS_rewrite(FITS *fits);
char* make_filename(char *buff, size_t buflen, char *prefix, char *suffix);
bool file_is_absent(char *name);
bool file_absent(char *name);
/**************************************************************************************
* FITSmanip.c *
**************************************************************************************/
void FITS_reporterr(int *errcode);
void initomp();
doubleimage *mktransform(doubleimage *im, imgstat *st, intens_transform transf);
uint8_t *convert2palette(doubleimage *im, image_palette cmap);
/*
// pointer to image conversion function

View File

@ -7,3 +7,5 @@ link_libraries(FITSmanip cfitsio m)
add_executable(keylist keylist.c)
add_executable(imstat imstat.c)
add_executable(listtable listtable.c)
add_executable(gd gd.c)
target_link_libraries(gd -lgd)

View File

@ -4,6 +4,22 @@ Examples
## common.h
Common files for all
# gd.c
Usage: gd [args]
Where args are:
-T, --transform=arg type of intensity transformation (log, sqr, exp, pow)
-h, --help show this help
-i, --inname=arg name of input file
-n, --hdunumber=arg open image from given HDU number
-o, --outpname=arg output file name (jpeg)
-p, --palette=arg convert as given palette
-r, --rewrite rewrite output file
-t, --textline=arg add text line to output image (at bottom)
## imstat.c
Usage: imstat [args] input files
@ -19,7 +35,6 @@ Get statistics and modify images from first image HDU of each input file
## keylist.c
Usage: keylist [args] infile.fits
Where args are:

245
examples/gd.c Normal file
View File

@ -0,0 +1,245 @@
/*
* This file is part of the FITSmaniplib project.
* Copyright 2019 Edward V. Emelianov <edward.emelianoff@gmail.com>, <eddy@sao.ru>.
*
* 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 3 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, see <http://www.gnu.org/licenses/>.
*/
#include "common.h"
#include <gd.h>
/*
* Read FITS image, convert it to double and save as JPEG
* with given pallette.
* WARNING! Supports only 2-dimensional images
*/
typedef struct{
char *fitsname; // input file name
char *outfile; // output file name
char *text; // add this text to image
char *transform; // type of intensity transform
char *palette; // palette to convert FITS image
int nhdu; // HDU number to read image from
int rewrite; // rewrite output file
} glob_pars;
/*
* here are global parameters initialisation
*/
static int help;
static glob_pars G = {
.nhdu = 1,
};
/*
* Define command line options by filling structure:
* name has_arg flag val type argptr help
*/
static myoption cmdlnopts[] = {
// common options
{"help", NO_ARGS, NULL, 'h', arg_int, APTR(&help), _("show this help")},
{"inname", NEED_ARG, NULL, 'i', arg_string, APTR(&G.fitsname), _("name of input file")},
{"outpname",NEED_ARG, NULL, 'o', arg_string, APTR(&G.outfile), _("output file name (jpeg)")},
{"textline",NEED_ARG, NULL, 't', arg_string, APTR(&G.text), _("add text line to output image (at bottom)")},
{"palette", NEED_ARG, NULL, 'p', arg_string, APTR(&G.palette), _("convert as given palette")},
{"hdunumber",NEED_ARG, NULL, 'n', arg_int, APTR(&G.nhdu), _("open image from given HDU number")},
{"transform",NEED_ARG, NULL, 'T', arg_string, APTR(&G.transform), _("type of intensity transformation (log, sqr, exp, pow)")},
{"rewrite", NO_ARGS, NULL, 'r', arg_none, APTR(&G.rewrite), _("rewrite output file")},
end_option
};
/**
* Parse command line options and return dynamically allocated structure
* to global parameters
* @param argc - copy of argc from main
* @param argv - copy of argv from main
* @return allocated structure with global parameters
*/
static glob_pars *parse_args(int argc, char **argv){
int i;
char *helpstring = "Usage: %s [args]\n\n\tWhere args are:\n";
change_helpstring(helpstring);
// parse arguments
parseargs(&argc, &argv, cmdlnopts);
if(help) showhelp(-1, cmdlnopts);
if(argc > 0){
for (i = 0; i < argc; i++)
printf("Ignore extra argument: %s\n", argv[i]);
}
return &G;
}
/**
* @brief write_jpeg - save JPEG file
* @param fname - file name
* @param data - RGB array with data (order: R,G,B)
* @param str - string to add @ left top corner of image
* @param img - image structure (for size parameters)
* @return true if all OK
*/
static bool write_jpeg(const char *fname, const uint8_t *data, const char *str, FITSimage *img){
if(!img) return FALSE;
int W = img->naxes[0], H = img->naxes[1];
gdImagePtr im = gdImageCreateTrueColor(W, H);
if(!im) return FALSE;
DBG("Create image %dx%d", W,H);
//OMP_FOR()
for(int y = H - 1; y >= 0; --y){ // flip up-down
for(int x = 0; x < (int)W; ++x){
im->tpixels[y][x] = (data[0] << 16) | (data[1] << 8) | data[2];
data += 3;
}
}
DBG("Converted");
FILE *fp = fopen(fname, "w");
if(!fp){
WARN(_("Can't save jpg image %s\n"), fname);
gdImageDestroy(im);
return FALSE;
}
if(str){
gdFTUseFontConfig(1);
char *font = (char*)"monotype";
char *ret = gdImageStringFT(im, NULL, 0xffffff, font, 10, 0., 2, 12, (char*)str);
if(ret) WARNX(_("Error: %s"), ret);
}
gdImageJpeg(im, fp, 90);
fclose(fp);
gdImageDestroy(im);
return TRUE;
}
/**
* @brief conv2rgb - convert grayscale normalized image to grayscale RGB
* @param inarr (i) - input array
* @param totpix - its size
* @return allocated here array with data
*
static uint8_t *conv2rgb(doubleimage *in){
if(!in) return NULL;
size_t totpix = in->totpix;
if(totpix == 0) return NULL;
double *inarr = in->data;
uint8_t *colored = MALLOC(uint8_t, totpix * 3);
OMP_FOR()
for(size_t i = 0; i < totpix; ++i){
uint8_t *pcl = &colored[i*3];
pcl[0] = pcl[1] = pcl[2] = (uint8_t)(inarr[i] * 255.);
}
return colored;
}*/
/**
* @brief gettransf - convert string with transformation type into intens_transform
* @param transf - type of transformation
* @return TRANSF_WRONG if arg is wrong or appropriate transformation type
* this function tests only first char[s] of type, so instead of, e.g. "log", you can
* write "lo", "looo", "Logogo", etc.
*/
static intens_transform gettransf(const char *transf){
if(!transf) return TRANSF_WRONG;
switch(transf[0]){
case 'e': // exp
return TRANSF_EXP;
break;
case 'l': // linear, log
case 'L':
switch(transf[1]){
case 'i':
case 'I':
return TRANSF_LINEAR;
break;
case 'o':
case 'O':
return TRANSF_LOG;
break;
default:
return TRANSF_WRONG;
}
break;
case 'p':
return TRANSF_POW;
break;
case 's':
return TRANSF_SQR;
break;
default:
return TRANSF_WRONG;
}
}
/**
* @brief palette_transform - transform string with colormap name into its number
* @param p - colormap name
* @return PALETTE_COUNT if wrong or appropriate palette
*/
static image_palette palette_transform(char *p){
if(!p) return PALETTE_COUNT;
switch(p[0]){
case 'B':
case 'b':
return PALETTE_BR;
break;
default:
return PALETTE_COUNT;
}
}
int main(int argc, char *argv[]){
intens_transform tr = TRANSF_LINEAR;
initial_setup();
parse_args(argc, argv);
if(!G.fitsname) ERRX(_("No input filename given!"));
if(!G.outfile) ERRX(_("Point the name of output file!"));
if(G.transform) tr = gettransf(G.transform);
if(tr == TRANSF_WRONG) ERRX(_("Wrong transform: %s"), G.transform);
if(!file_absent(G.outfile) && !G.rewrite) ERRX(_("File %s exists"), G.outfile);
DBG("Open file %s", G.fitsname);
FITS *f = FITS_read(G.fitsname);
DBG("HERE");
green("got file %s, HDUs: %d, working HDU #%d\n", G.fitsname, f->NHDUs, G.nhdu);
if(f->NHDUs < G.nhdu) ERRX(_("File %s consists %d HDUs!"), G.fitsname, f->NHDUs);
f->curHDU = &f->HDUs[G.nhdu];
if(f->curHDU->hdutype != IMAGE_HDU) ERRX(_("HDU %d is not image!"), G.nhdu);
FITSimage *img = f->curHDU->contents.image;
if(img->naxis != 2) ERRX(_("Support only 2-dimensional images"));
DBG("convert image from HDU #%d into double", G.nhdu);
doubleimage *dblimg = image2double(img);
if(!dblimg) ERRX(_("Can't convert image from HDU %s"), G.nhdu);
DBG("Done");
imgstat *st = get_imgstat(dblimg, NULL);
DBG("Image statistics: MIN=%g, MAX=%g, AVR=%g, STD=%g", st->min, st->max, st->mean, st->std);
if(!normalize_dbl(dblimg, st)) ERRX(_("Can't normalize image!"));
#ifdef EBUG
st = get_imgstat(dblimg, NULL);
#endif
DBG("NOW: MIN=%g, MAX=%g, AVR=%g, STD=%g", st->min, st->max, st->mean, st->std);
if(!mktransform(dblimg, st, tr)) ERRX(_("Can't do given transform"));
#ifdef EBUG
st = get_imgstat(dblimg, NULL);
#endif
DBG("After transformation: MIN=%g, MAX=%g, AVR=%g, STD=%g", st->min, st->max, st->mean, st->std);
image_palette colormap = PALETTE_GRAY;
if(G.palette){ // convert normalized image due to choosen palette
colormap = palette_transform(G.palette);
if(colormap == PALETTE_COUNT) ERRX(_("Wrong colormap name"));
}
//uint8_t *colored = conv2rgb(dblimg);
uint8_t *colored = convert2palette(dblimg, colormap);
DBG("Save jpeg to %s", G.outfile);
if(!write_jpeg(G.outfile, colored, G.text, img)) ERRX(_("Can't save modified file %s"), G.outfile);
green("File %s saved\n", G.outfile);
return 0;
}

View File

@ -57,13 +57,6 @@ static myoption cmdlnopts[] = {
end_option
};
typedef struct{
double mean;
double std;
double min;
double max;
} imgstat;
/**
* Parse command line options and return dynamically allocated structure
* to global parameters
@ -89,25 +82,6 @@ static glob_pars *parse_args(int argc, char **argv){
return &G;
}
static imgstat *get_imgstat(double *dimg, long totpix){
static imgstat st;
if(!dimg || !totpix) return &st; // return some trash if wrong data
st.min = dimg[0];
st.max = dimg[0];
double sum = dimg[0], sum2 = dimg[0];
for(long i = 1; i < totpix; ++i){
double val = dimg[i];
if(st.min > val) st.min = val;
if(st.max < val) st.max = val;
sum += val;
sum2 += val*val;
}
DBG("tot:%ld, sum=%g, sum2=%g, min=%g, max=%g", totpix, sum, sum2, st.min, st.max);
st.mean = sum / totpix;
st.std = sqrt(sum2/totpix - st.mean*st.mean);
return &st;
}
static void printstat(imgstat *stat){
green("Statistics:\n");
printf("MEAN=%g\nSTD=%g\nMIN=%g\nMAX=%g\n", stat->mean, stat->std, stat->min, stat->max);
@ -176,10 +150,11 @@ static bool process_fitsfile(char *inname, FITS *output){
// OK, we have an image and can do something with it
green("\tGet image from this HDU.\n");
FITSimage *img = f->curHDU->contents.image;
double *dImg = image2double(img);
doubleimage *dblim = image2double(img);
// calculate image statistics
imgstat *stat = get_imgstat(dImg, img->totpix);
imgstat *stat = get_imgstat(dblim, NULL);
printstat(stat);
double *dImg = dblim->data;
DBG("i[1000] = %d, o[1000]=%g", ((uint16_t*)img->data)[1000], dImg[1000]);
if(G.add){
if(addsomething(img, dImg, stat)) mod = TRUE;

View File

@ -170,6 +170,7 @@ FITSimage *image_rebuild(FITSimage *img, double *dimg){
// first we should calculate statistics of new image
double *sr = MALLOC(double, img->totpix);
memcpy(sr, dimg, sizeof(double)*img->totpix);
initomp();
qsort(sr, img->totpix, sizeof(double), cmpdbl);
double mindiff = DBL_MAX;
bool isint = TRUE;
@ -318,21 +319,31 @@ FITSimage *image_read(FITS *fits){
return img;
}
void dblima_free(doubleimage **im){
FREE((*im)->data);
FREE(*im);
}
/**
* @brief image2double convert image values to double
* @param img - input image
* @return array of double with size imt->totpix
* @return array of double with size img->totpix
*/
double *image2double(FITSimage *img){
doubleimage *image2double(FITSimage *img){
size_t tot = img->totpix;
double *ret = MALLOC(double, tot);
doubleimage *dblim = MALLOC(doubleimage, 1);
dblim->data = ret;
dblim->width = img->naxes[0];
dblim->height = img->naxes[1];
dblim->totpix = tot;
DBG("image: %ldx%ld=%ld", dblim->width, dblim->height, tot);
double (*fconv)(uint8_t *x);
double ubyteconv(uint8_t *data){return (double)*data;}
double ushortconv(uint8_t *data){return (double)*((uint16_t*)data);}
double ulongconv(uint8_t *data){return (double)*((uint32_t*)data);}
double ulonglongconv(uint8_t *data){return (double)*((uint64_t*)data);}
double floatconv(uint8_t *data){return (double)*((float*)data);}
initomp();
switch(img->dtype){
case TBYTE:
fconv = ubyteconv;
@ -351,17 +362,77 @@ double *image2double(FITSimage *img){
break;
case TDOUBLE:
memcpy(ret, img->data, sizeof(double)*img->totpix);
return ret;
return dblim;
break;
default:
WARNX(_("Undefined image type, cant convert to double"));
FREE(ret);
FREE(dblim);
return NULL;
}
uint8_t *din = img->data;
initomp();
OMP_FOR()
for(size_t i = 0; i < tot; ++i){
ret[i] = fconv(&din[i*img->pxsz]);
}
return ret;
return dblim;
}
/**
* @brief get_imgstat - calculate simplest statistics: mean/std/min/max
* @param dimg - double array
* @param totpix - total amount of pixels
* @param est - structure for output data (for thread-safe operations)
* @return structure with statistics data
*/
imgstat *get_imgstat(const doubleimage *im, imgstat *est){
static imgstat st;
if(!im || !im->totpix) return &st; // return some trash if wrong data
double *dimg = im->data;
size_t totpix = im->totpix;
st.min = dimg[0];
st.max = dimg[0];
double sum = dimg[0], sum2 = dimg[0];
for(size_t i = 1; i < totpix; ++i){
double val = dimg[i];
if(st.min > val) st.min = val;
if(st.max < val) st.max = val;
sum += val;
sum2 += val*val;
}
DBG("tot:%ld, sum=%g, sum2=%g, min=%g, max=%g", totpix, sum, sum2, st.min, st.max);
st.mean = sum / totpix;
st.std = sqrt(sum2/totpix - st.mean*st.mean);
if(est){
memcpy(est, &st, sizeof(imgstat));
return est;
}
return &st;
}
/**
* @brief normalize_dbl - convert double image array to normalized (0..1)
* @param dimg (io) - array with image pixels
* @param st (i) - image statistics (maybe NULL, then calculates here)
* @return pointer to dimg
*/
doubleimage *normalize_dbl(doubleimage *im, imgstat *st){
if(!im || !im->data || !st) return NULL;
double *dimg = im->data;
size_t totpix = im->totpix;
if(totpix < 1) return NULL;
imgstat imst;
if(!st) st = get_imgstat(im, &imst);
double rng = st->max - st->min;
if(rng < 2*DBL_EPSILON){
WARNX(_("Data range is too small"));
return NULL;
}
initomp();
OMP_FOR()
for(size_t i = 0; i < totpix; ++i){
dimg[i] = (dimg[i] - st->min) / rng;
}
return im;
}