Non-local total variation regularization models for image restoration

P. Jidesh; K Shivarama Holla

doi:10.1016/j.compeleceng.2018.03.014

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Non-local total variation regularization models for image restoration

P. Jidesh K Shivarama Holla

Year: 2018 Journal: Computers & Electrical Engineering Vol: 67 Pages: 114-133 Publisher: Elsevier BV

DOI: 10.1016/j.compeleceng.2018.03.014

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Keywords:

Image restoration Regularization (linguistics) Total variation denoising Prior probability Noise (video) Computer science Iterative reconstruction Mathematics Algorithm Convergence (economics) Artificial intelligence Bounded function Synthetic aperture radar Mathematical optimization Image (mathematics) Image processing Bayesian probability Mathematical analysis

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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

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Non-local total variation regularization models for image restoration

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