Image despeckling with non-local total bounded variation regularization

P. Jidesh; Balaji Banothu

doi:10.1016/j.compeleceng.2017.09.013

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Image despeckling with non-local total bounded variation regularization

P. Jidesh Balaji Banothu

Year: 2017 Journal: Computers & Electrical Engineering Vol: 70 Pages: 631-646 Publisher: Elsevier BV

DOI: 10.1016/j.compeleceng.2017.09.013

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Keywords:

Maximum a posteriori estimation Bounded function Regularization (linguistics) Total variation denoising Mathematics Estimator Algorithm Augmented Lagrangian method Bounded variation Synthetic aperture radar Artificial intelligence Fidelity Mathematical optimization Noise reduction Computer science Maximum likelihood Mathematical analysis Statistics

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Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Image despeckling with non-local total bounded variation regularization

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