Clustering-Based Denoising With Locally Learned Dictionaries

DOI10.1109/TIP.2009.2018575zbMath1371.94081DBLPjournals/tip/ChatterjeeM09WikidataQ46546155 ScholiaQ46546155MaRDI QIDQ5366028

Priyam Chatterjee, Peyman Milanfar

Publication date: 9 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Multiplicative noise removal via nonlocal similarity-based sparse representation ⋮ Image deblurring via total variation based structured sparse model selection ⋮ Low-complexity image denoising based on mixture model and simple form of MMSE estimation ⋮ Asymptotic Performance of Global Denoising ⋮ Denoising color images by reduced quaternion matrix singular value decomposition ⋮ Dual-Domain Filtering ⋮ Gaussian Noise Reduction Using Fuzzy Morphological Amoebas ⋮ Automatic ultrasound image segmentation based on local entropy and active contour model ⋮ Data-driven tight frame learning scheme based on local and non-local sparsity with application to image recovery ⋮ A Block Nonlocal TV Method for Image Restoration ⋮ A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets

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