16 citations · 20 across the 6 of their papers we have counts for
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cs.CV2024★ 1 cited
Self-Supervised Multi-Scale Network for Blind Image Deblurring via Alternating Optimization
Lening Guo, Jing Yu, Ning Zhang +1
Blind image deblurring is a challenging low-level vision task that involves estimating the unblurred image when the blur kernel is unknown. In this paper, we present a self-supervi…
cs.CV2018
Edge-Based Blur Kernel Estimation Using Sparse Representation and Self-Similarity
Jing Yu, Zhenchun Chang, Chuangbai Xiao
Blind image deconvolution is the problem of recovering the latent image from the only observed blurry image when the blur kernel is unknown. In this paper, we propose an edge-based…
cs.CV2018★ 2 cited
Dual Reweighted Lp-Norm Minimization for Salt-and-pepper Noise Removal
Huiwen Dong, Jing Yu, Chuangbai Xiao
The robust principal component analysis (RPCA), which aims to estimate underlying low-rank and sparse structures from the degraded observation data, has found wide applications in…