$L_0$ -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond

By Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017

304 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/578efbb411f354f5fb96c15d7b88cb2ffc1c72df

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In Computer Vision and Pattern Recognition

1. Wangmeng Zuo
2. Kai Zhang
3. Radu Timofte
4. Luc Van Gool
5. Wenqi Ren
6. Ming-Hsuan Yang
7. Xiaochun Cao
8. Qinghua Hu

Citations in the corpus

• Image Deblurring via Extreme Channels Prior (2017, methodology): “(i) Intermediate results of [16] (j) Output of [16]”
• Neural Blind Deconvolution Using Deep Priors (2019, methodology): “sent two algorithms for SelfDeblur, i.e., alternating optimization and joint optimization. Alternating Optimization. Analogous to the alternating minimization steps in traditional blind deconvolution [2, 28,30,41,56], the network parameters of G k and G x can also be optimized in an alternating mann”