Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study-Reference-Cited by-同舟云学术

Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study

Published:2016-08-04 Issue:4 Volume:25 Page:043020
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Bajic Buda¹,Lindblad Joakim²,Sladoje Nataša²

Affiliation:

1. University of Novi Sad, Faculty of Technical Sciences, Trg D. Obradovica 6, 21000 Novi Sad, Serbia

2. Uppsala University, Centre for Image Analysis, Department of Information Technology, Box 337, 751 05, Uppsala, SwedencMathematical Institute, Serbian Academy of Sciences and Arts, Kneza Mihaila 36, Belgrade 11001, Serbia

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference34 articles.

1. A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations

2. The Transformation of Poisson, Binomial and Negative-Binomial Data

3. Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis sparsity priors

4. Nonlinear total variation based noise removal algorithms

5. Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review

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