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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/1993
Title: A new color image compression algorithm based on DCT and hierarchical data structure
Authors: Ng, Alan Chi Kit
Zeng, Bing
Keywords: Image compression
Hierarchical
DCT
Quad. tree structure
Progressive transmission
Pixel subsampling
Issue Date: 1998
Citation: Visual Communications and Image Processing '99, Kiyoharu Aizawa, Robert L. Stevenson, Ya-Qin Zhang, Editors, Proceedings of SPIE Vol. 3653, p. 1050-1061 (1999)
Abstract: Nowadays, since the bandwidth is very expensive in most cases of the real-world telecommunications, we need to compress the amount of image data being transmitted. The main drawback for lossy compression is that we cannot completely restore the original images. We have to make a compromise between bit-rate and distortion. In the paper, we propose a new scalable image compression algorithm using 1) Quad. Tree data structure, 2) DCT and 3) Hierarchical DPCM encoding. For high compression, we are able to achieve compression factor of 48 (at 0.25bpp), with PSNR of about 32dB. For small distortion compressed image, we can obtain high PSNR of 49dB at 2.5dpp! The result is promising. Due to the hierarchical data structure, the encoded image can be transmitted progressively for practical Internet applications.
Rights: Copyright 1998 Society of Photo-Optical Instrumentation Engineers. This paper was published in Visual Communications and Image Processing '99, Kiyoharu Aizawa, Robert L. Stevenson, Ya-Qin Zhang, Editors, Proceedings of SPIE Vol. 3653, p. 1050-1061 (1999) and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
URI: http://hdl.handle.net/1783.1/1993
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