NAME
deghosting_mask - 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
Lukáš Jirkovský