deghosting_mask − Creates mask for removing ghosting in images
deghosting_mask [options] <image1> <image2> ...
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.
Prefix for output masks
Standard deviation of Gaussian weighting function ( SIGMA > 0); default: 30
Number of iterations, default is ( ITER > 0) default: 4
Threshold; default: 150
Change constrast before applying threshold; default: 1.3
Advanced settings. Possible
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
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
Advanced save settings
i Save initial weigths
w Save generated weigths
Image cache BLOCKSIZE in kilobytes; default: 2048KB
Set image CACHESIZE in megabytes; default: 1024MB
Display this help
Verbose, repeat for more verbose output
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