Convolutional Neural Networks Considering Local and Global features for Image Enhancement

7 May 2019 Yuma Kinoshita Hitoshi Kiya

In this paper, we propose a novel convolutional neural network (CNN) architecture considering both local and global features for image enhancement. Most conventional image enhancement methods, including Retinex-based methods, cannot restore lost pixel values caused by clipping and quantizing... (read more)

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