A BREGMAN ITERATIVE REGULARIZATION METHOD FOR WAVELET-BASED IMAGE DEBLURRING

DOI10.1142/S0219691310003596zbMath1190.65029OpenAlexW2045793780MaRDI QIDQ3569321

Haiqing Yin, Hong-Wei Liu

Publication date: 18 June 2010

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691310003596

zbMATH Keywords

iterative regularizationconvex analysisimage denoisingimage restorationBregman distanceminimization of a functionalscale space methodwavelet-based image deblurring

Mathematics Subject Classification ID

Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Numerical methods for wavelets (65T60) Linear operators and ill-posed problems, regularization (47A52) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items (3)

THE BACK-PROJECTION METHOD FOR CONSTRUCTING 3D NON-TENSOR PRODUCT MOTHER WAVELETS AND THE APPLICATION IN IMAGE EDGE DETECTION ⋮ Implementation of 2D discrete wavelet transform by number theoretic transform and 2D overlap-save method ⋮ WAVELET CHARACTERIZATION OF DYADIC BMO NORM AND ITS APPLICATION IN IMAGE DECOMPOSITION FOR DISTINGUISHING BETWEEN TEXTURE AND NOISE

Cites Work

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