Search Results for author: Xinggan Zhang

Found 9 papers, 0 papers with code

Group Sparsity Residual with Non-Local Samples for Image Denoising

no code implementations22 Mar 2018 Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Yechao Bai, Lan Tang, Xin Yuan

Inspired by group-based sparse coding, recently proposed group sparsity residual (GSR) scheme has demonstrated superior performance in image processing.

Image Denoising

Group-based Sparse Representation for Image Compressive Sensing Reconstruction with Non-Convex Regularization

no code implementations24 Apr 2017 Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Lan Tang, Xin Liu

In this paper, a group-based sparse representation method with non-convex regularization (GSR-NCR) for image CS reconstruction is proposed.

Compressive Sensing Dictionary Learning

Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration

no code implementations24 Apr 2017 Zhiyuan Zha, Xinggan Zhang, Yu Wu, Qiong Wang, Lan Tang

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.

Compressive Sensing Deblurring +3

Non-Convex Weighted Lp Minimization based Group Sparse Representation Framework for Image Denoising

no code implementations5 Apr 2017 Qiong Wang, Xinggan Zhang, Yu Wu, Lan Tang, Zhiyuan Zha

Nonlocal image representation or group sparsity has attracted considerable interest in various low-level vision tasks and has led to several state-of-the-art image denoising techniques, such as BM3D, LSSC.

Image Denoising

Group Sparsity Residual Constraint for Image Denoising

no code implementations1 Mar 2017 Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Lan Tang, Xin Liu

Unlike the conventional group-based sparse representation denoising methods, two kinds of prior, namely, the NSS priors of noisy and pre-filtered images, are used in GSRC.

Image Denoising

Image denoising using group sparsity residual and external nonlocal self-similarity prior

no code implementations3 Jan 2017 Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Yechao Bai, Lan Tang

To boost the performance of image denoising, the concept of group sparsity residual is proposed, and thus the problem of image denoising is transformed into one that reduces the group sparsity residual.

Deblurring Image Denoising

Analyzing the group sparsity based on the rank minimization methods

no code implementations28 Nov 2016 Zhiyuan Zha, Xin Liu, Xiaohua Huang, Henglin Shi, Yingyue Xu, Qiong Wang, Lan Tang, Xinggan Zhang

Then, we prove that group-based sparse coding is equivalent to the rank minimization problem, and thus the sparse coefficient of each group is measured by estimating the singular values of each group.

Compressive Sensing Image Inpainting

Image denoising via group sparsity residual constraint

no code implementations12 Sep 2016 Zhiyuan Zha, Xin Liu, Ziheng Zhou, Xiaohua Huang, Jingang Shi, Zhenhong Shang, Lan Tang, Yechao Bai, Qiong Wang, Xinggan Zhang

Group sparsity has shown great potential in various low-level vision tasks (e. g, image denoising, deblurring and inpainting).

Deblurring Image Denoising

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