13 citations · 31 across the 13 of their papers we have counts for
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eess.IV2020
Enhancing and Learning Denoiser without Clean Reference
Rui Zhao, Daniel P. K. Lun, Kin-Man Lam
Recent studies on learning-based image denoising have achieved promising performance on various noise reduction tasks. Most of these deep denoisers are trained either under the sup…
eess.IV2020★ 1 cited
Blur-Attention: A boosting mechanism for non-uniform blurred image restoration
Xiaoguang Li, Feifan Yang, Kin Man Lam +2
Dynamic scene deblurring is a challenging problem in computer vision. It is difficult to accurately estimate the spatially varying blur kernel by traditional methods. Data-driven-b…
eess.IV2020★ 7 cited
Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis
Rui Zhao, Kin-Man Lam, Daniel P. K. Lun
Convolutional neural network (CNN)-based image denoising methods have been widely studied recently, because of their high-speed processing capability and good visual quality. Howev…