2 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
Blind Deconvolution of Binary and Pattern Images with Pixel Intensity Constraints and Sparse Gradient Prior
Qinghua Zhang, Xuesong Yang, Liangtian He +2
Blind image deconvolution (BID) is a prominent research topic in the field of imaging sciences, given its significant practical applications. Most existing model-based BID methods…
Matrix Completion Via Reweighted Logarithmic Norm Minimization
Zhijie Wang, Liangtian He, Qinghua Zhang +3
Low-rank matrix completion (LRMC) has demonstrated remarkable success in a wide range of applications. To address the NP-hard nature of the rank minimization problem, the nuclear n…
Support Driven Wavelet Frame-based Image Deblurring
Liangtian He, Yilun Wang, Zhaoyin Xiang
The wavelet frame systems have been playing an active role in image restoration and many other image processing fields over the past decades, owing to the good capability of sparse…
Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients
Liangtian He, Yilun Wang
The wavelet frame systems have been widely investigated and applied for image restoration and many other image processing problems over the past decades, attributing to their good…
Linear Spatial Pyramid Matching Using Non-convex and non-negative Sparse Coding for Image Classification
Chengqiang Bao, Liangtian He, Yilun Wang
Recently sparse coding have been highly successful in image classification mainly due to its capability of incorporating the sparsity of image representation. In this paper, we pro…