Deep Likelihood Network for Image Restoration with Multiple Degradation Levels

19 Apr 2019Yiwen GuoMing LuWangmeng ZuoChangshui ZhangYurong Chen

Convolutional neural networks have been proven very effective in a variety of image restoration tasks. Most state-of-the-art solutions, however, are trained using images with a single particular degradation level, and can deteriorate drastically when being applied to some other degradation settings... (read more)

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