Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks

2 Feb 2018 Lijun Zhao Huihui Bai Feng Li Anhong Wang Yao Zhao

In this paper, we propose an end-to-end mixed-resolution image compression framework with convolutional neural networks. Firstly, given one input image, feature description neural network (FDNN) is used to generate a new representation of this image, so that this image representation can be more efficiently compressed by standard codec, as compared to the input image... (read more)

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