Sparse-filtering in directional lifting wavelet transform domain based Bayesian compressive sensing

DOI10.1142/S021969131450043XzbMath1314.65031OpenAlexW2118922315MaRDI QIDQ5248167

Chen Gong, Xingsong Hou, Lan Zhang, Zan Chen

Publication date: 27 April 2015

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/s021969131450043x

zbMATH Keywords

numerical exampleimage codingsignal recoveringBayesian compressive sensingdirectional lifting wavelet transforminterscale dependencysparse-filteringtail-folding

Mathematics Subject Classification ID

Bayesian inference (62F15) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60)

Cites Work

• Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing
• The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range
• Model-Assisted Adaptive Recovery of Compressed Sensing with Imaging Applications

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