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Licence Creative Commons by-nc-nd
(Attribution-Noncommercial-No Derivative Works 2.0 France) Development from the higher education and the research communities
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This toolbox allows to restore an image degraded by a linear operator and Gaussian noise. The considered criterion is composed with a least square function as data fidelity term, a quadratic distance function allowing to constraint the dynamic range of the restored image into [xmin,xmax], a quadratic elastic net term allowing to ensure the existence of the solution and a regularization term favorizing piecewise constant images.
The restoration process uses the Majorize-Minimize Memory Gradient Algorithm.
Image restoration (degradation modeled as a linear operator and a Gaussian noise).