189 citations · 617 across the 16 of their papers we have counts for
5 papers · 1 filter
Group-based Sparse Representation for Image Restoration
Jian Zhang, Debin Zhao, Wen Gao
Traditional patch-based sparse representation modeling of natural images usually suffer from two problems. First, it has to solve a large-scale optimization problem with high compu…
Image Restoration Using Joint Statistical Modeling in Space-Transform Domain
Jian Zhang, Debin Zhao, Ruiqin Xiong +2
This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal self-similarity of natural images in a unified statist…
Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization
Jian Zhang, Chen Zhao, Debin Zhao +1
From many fewer acquired measurements than suggested by the Nyquist sampling theory, compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high prob…
Structural Group Sparse Representation for Image Compressive Sensing Recovery
Jian Zhang, Debin Zhao, Feng Jiang +1
Compressive Sensing (CS) theory shows that a signal can be decoded from many fewer measurements than suggested by the Nyquist sampling theory, when the signal is sparse in some dom…
Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images
Jian Zhang, Debin Zhao, Feng Jiang
A novel coding strategy for block-based compressive sens-ing named spatially directional predictive coding (SDPC) is proposed, which efficiently utilizes the intrinsic spatial cor-…