Color Image Compression with Transform Domain Down-Sampling and Deep Convolutional Reconstruction

Yan Wang, Shuyuan Zhu, Xiandong Meng, Bing Zeng, Yuanfang Guo, Ruiqin Xiong

Abstract: 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.