INP
A single 1-band grayscale input image.
OUT
A single 1-band grayscale output image.
By default, the output will have the same number of bands as the
input, and all bands will be processed. If BAND is specified,
the output will have a single band.
BAND
The input file band number to use. By default, the output will
have the same number of bands as the input, and all bands will
be processed. If BAND is specified, the output will have a single
band. If a non-existent band (e.g. 4th band for a 3-band image)
is specified, the first band is processed.
MU
Parameter controlling regularization. Smaller value would apply more
regularization, removing larger noise structures, while running the risk
of removing features. Larger MU would apply less regularization,
leaving larger noise structures in the image.
LAMBDA
Optimization parameter, which usually should be left as default.
This is the weight on the gradient term in the Split Bregman minimization.
GAMMA should be twice as large as LAMBDA.
GAMMA
Optimization parameter, which usually should be left as default.
This is the weight on the fidelity term in the Split Bregman minimization.
GAMMA should be twice as large as LAMBDA.
ITER
Number of iterations for the algorithm to run. This number may need to
be adjusted so that the algorithm runs until convergence. The energy value
in the output "E = xxx" could be monitored to determine whether the algorithm
converged (i.e. whether the energy value stopped decreasing significantly).
Experiments showed that ITER = 100 is sufficient for convergence. In general,
if computational time is an issue, ITER could be decreased from 100.