deghosting_mask(1) Creates mask for removing ghosting in images

SYNOPSIS

deghosting_mask [options] <image1> <image2> ...

DESCRIPTION

Takes a series of aligned photos, usually three or more, and generates masks for removal of ghosts - Data that only appears in a minority of photos.

OPTIONS

-o|--output <path>
Prefix for output masks
-s|--sigma <float>
Standard deviation of Gaussian weighting function (SIGMA > 0); default: 30
-i|--iterations <int>
Number of iterations, default is (ITER > 0) default: 4
-t|--threshold <float>
Threshold; default: 150
-c|--contrast <float>
Change constrast before applying threshold; default: 1.3
-a|--advanced <f|g|m|t|w>
Advanced settings. Possible options are:
f Use gray images for computation. It's about two times faster but it usually returns worse results. You also have to change threshold to smaller value (around 100)
g Use gamma 2.2 correction instead of logarithm if input images are HDR
m Do not scale image, NOTE: slows down process
t Use simple threshold, may result in holes in images
w Compute "complete" weights, not only probabilities
-w|--save <i|w>
Advanced save settings
i Save initial weigths
w Save generated weigths
-b <int>
Image cache BLOCKSIZE in kilobytes; default: 2048KB
-m <int>
Set image CACHESIZE in megabytes; default: 1024MB
-h|--help
Display this help
-v|--verbose <0|1>
Verbose, repeat for more verbose output

AUTHORS

LukaX Jirkovsky