33     const char *InputFile;
 
   35     const char *OutputFile;
 
   51     puts(
"Total variation deconvolution demo, P. Getreuer 2011-2012\n\n" 
   52     "Usage: tvdeconv [param:value ...] input output\n\n" 
   53     "where \"input\" and \"output\" are " 
   56     puts(
"  K:<kernel>             blur kernel for deconvolution");
 
   57     puts(
"      K:disk:<radius>         filled disk kernel");
 
   58     puts(
"      K:gaussian:<sigma>      Gaussian kernel");
 
   59     puts(
"      K:<file>                read kernel from text or image file");
 
   60     puts(
"  lambda:<value>         fidelity weight");
 
   61     puts(
"  noise:<model>          noisy model");
 
   62     puts(
"      noise:gaussian          additive Gaussian noise (default)");
 
   63     puts(
"      noise:laplace           Laplace noise");
 
   64     puts(
"      noise:poisson           Poisson noise");
 
   65     puts(
"  f:<file>               input file (alternative syntax)");
 
   66     puts(
"  u:<file>               output file (alternative syntax)");
 
   68     puts(
"  jpegquality:<number>   quality for saving JPEG images (0 to 100)");
 
   71     "   imblur noise:gaussian:5 K:disk:2 input.bmp blurry.bmp\n");
 
   74 int TvDeconv(
image u, 
image f, 
image Kernel, num Lambda, 
const char *Noise);
 
   77 int main(
int argc, 
char **argv)
 
   80     image f = NullImage, u = NullImage;
 
   83     if(!
ParseParams(&Params, argc, (
const char **)argv))
 
   91         fputs(
"Out of memory.\n", stderr);
 
  100         fprintf(stderr, 
"Error writing to \"%s\".\n", Params.
OutputFile);
 
  106     FreeImageObj(Params.
Kernel);
 
  111 int TvDeconv(
image u, 
image f, 
image Kernel, num Lambda, 
const char *Noise)
 
  118         fputs(
"Out of memory.\n", stderr);
 
  123         fprintf(stderr, 
"Unknown noise model, \"%s\".\n", Noise);
 
  136         fputs(
"Error in computation.\n", stderr);
 
  146     static const char *DefaultOutputFile = (
char *)
"out.bmp";
 
  147     const char *Param, *Value;
 
  159     Params->
Kernel = NullImage;
 
  160     Params->
Noise = 
"gaussian";
 
  172         Skip = (argv[k][0] == 
'-') ? 1 : 0;
 
  174             k, &argv[k][Skip], argc, argv, 
":");
 
  190         if(!strcmp(Param, 
"f") || !strcmp(Param, 
"input"))
 
  194                 fprintf(stderr, 
"Expected a value for option %s.\n", Param);
 
  199         else if(!strcmp(Param, 
"u") || !strcmp(Param, 
"output"))
 
  203                 fprintf(stderr, 
"Expected a value for option %s.\n", Param);
 
  208         else if(!strcmp(Param, 
"K"))
 
  212                 fprintf(stderr, 
"Expected a value for option %s.\n", Param);
 
  218         else if(!strcmp(Param, 
"lambda"))
 
  222             else if(NumValue <= 0)
 
  224                 fputs(
"Parameter lambda must be positive.\n", stderr);
 
  228                 Params->
Lambda = (int)NumValue;
 
  230         else if(!strcmp(Param, 
"noise"))
 
  234                 fprintf(stderr, 
"Expected a value for option %s.\n", Param);
 
  238                 Params->
Noise = Value;
 
  240         else if(!strcmp(Param, 
"jpegquality"))
 
  244             else if(NumValue < 0 || 100 < NumValue)
 
  246                 fputs(
"JPEG quality must be between 0 and 100.\n", stderr);
 
  254             fprintf(stderr, 
"Unknown option \"%s\".\n", Param);