Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights
                    
                        
                            نویسندگان
                            
                            
                        
                        
                    
                    
                    چکیده
منابع مشابه
Weighted maximum likelihood denoising with iterative and probabilistic patch-based weights Débruitage par maximum de vraisemblance pondérée par une méthode non-locale itérative et probabiliste
Image denoising is an important problem in image processing since the noise makes difficult their visual or automatic interpretation. Hence, a well-adapted preprocessing step is required to denoise the images before analyzing them. The paper presents a new approach for image denoising when an uncorrelated noise model is provided. The proposed filter is a generalization of the non local means al...
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Patch-based methods have been widely used for noise reduction in recent years. In this paper, we propose a general statistical aggregation method which combines image patches denoised with several commonly-used algorithms. We show that weakly denoised versions of the input image obtained with standard methods, can serve to compute an efficient patch-based aggregated estimator. In our approach, ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2009
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2009.2029593