10 citations · 52 across the 15 of their papers we have counts for
6 papers · 1 filter
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization
Zhiyuan Zha, Xin Yuan, Bihan Wen +3
Sparse coding has achieved a great success in various image processing tasks. However, a benchmark to measure the sparsity of image patch/group is missing since sparse coding is es…
Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration
Zhiyuan Zha, Xinggan Zhang, Yu Wu +2
Since the matrix formed by nonlocal similar patches in a natural image is of low rank, the nuclear norm minimization (NNM) has been widely used in various image processing studies.…
Group-based Sparse Representation for Image Compressive Sensing Reconstruction with Non-Convex Regularization
Zhiyuan Zha, Xinggan Zhang, Qiong Wang +2
Patch-based sparse representation modeling has shown great potential in image compressive sensing (CS) reconstruction. However, this model usually suffers from some limits, such as…
Group Sparsity Residual Constraint for Image Denoising
Zhiyuan Zha, Xinggan Zhang, Qiong Wang +2
Group-based sparse representation has shown great potential in image denoising. However, most existing methods only consider the nonlocal self-similarity (NSS) prior of noisy input…
Analyzing the Weighted Nuclear Norm Minimization and Nuclear Norm Minimization based on Group Sparse Representation
Zhiyuan Zha, Xin Yuan, Bei Li +4
Rank minimization methods have attracted considerable interest in various areas, such as computer vision and machine learning. The most representative work is nuclear norm minimiza…
Image denoising using group sparsity residual and external nonlocal self-similarity prior
Zhiyuan Zha, Xinggan Zhang, Qiong Wang +2
Nonlocal image representation has been successfully used in many image-related inverse problems including denoising, deblurring and deblocking. However, a majority of reconstructio…