A novel low-bit-rate image compression algorithm

Authors:
Qing Xia;Xiaoguang Li;Li Zhuo;Kin Man Lam
Affiliations:
Signal & Information Processing Lab., Beijing University of Technology, Beijing, China;Signal & Information Processing Lab., Beijing University of Technology, Beijing, China;Signal & Information Processing Lab., Beijing University of Technology, Beijing, China;Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong
Venue:
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Year:
2010

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Abstract

In this paper, a novel image compression approach for low-bit-rate applications is proposed. Our algorithm combines both super-resolution techniques and compression techniques so that a higher compression rate, with satisfactory visual quality, can be achieved. In the coding process, the downscaled version of the input image is divided into blocks, and each block is classified as either a textural block or a flat block. For the flat blocks, a skipping scheme is employed in the compression process so as to save the bits. The coding of the skip blocks, identified by the skipping scheme, will make reference to the reconstructed regions of the image in the encoding process. For the textural blocks, the standard JPEG coding method is employed. In the decoding process, the decompressed image is up-scaled using a super-resolution algorithm. Experimental results show the superior performance of our method in terms of both compression efficiency and visual quality.