Color Image Compression with Transform Domain Down-Sampling and Deep Convolutional Reconstruction
2019 IEEE Visual Communications and Image Processing (VCIP)(2019)
摘要
In this paper, we build up a new block-based color image compression scheme based on our proposed transform domain down-sampling method and deep convolutional reconstruction algorithm. Specifically, our proposed down-sampling scheme aims to down-sample each N × N transform block into the N/2 × N/2 block for the saving of bit-cost. On the other hand, the proposed deep convolutional reconstruction algorithm is employed to reconstruct the down-sampled block for a full-resolution reconstruction. We apply our proposed methods to both the chrominance components to compress color images. Experimental results show that our proposed method achieves excellent results when used in practice.
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关键词
Image compression,down-sampling,transform domain,CNN,reconstruction
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