5 citations · 6 across the 3 of their papers we have counts for
4 papers
Mixed Noise Removal with Pareto Prior
Zhou Liu, Lei Yu, Gui-Song Xia +1
Denoising images contaminated by the mixture of additive white Gaussian noise (AWGN) and impulse noise (IN) is an essential but challenging problem. The presence of impulsive distu…
Learning Cluster Structured Sparsity by Reweighting
Yulun Jiang, Lei Yu, Haijian Zhang +1
Recently, the paradigm of unfolding iterative algorithms into finite-length feed-forward neural networks has achieved a great success in the area of sparse recovery. Benefit from a…
CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network
Menglei Zhang, Zhou Liu, Lei Yu
Convolutional Sparse Coding (CSC) has been attracting more and more attention in recent years, for making full use of image global correlation to improve performance on various com…
Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding
Menglei Zhang, Zhou Liu, Lei Yu
We propose a simple yet effective model for Single Image Super-Resolution (SISR), by combining the merits of Residual Learning and Convolutional Sparse Coding (RL-CSC). Our model i…