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Proceedings Paper

A new efficient method for color image compression based on visual attention mechanism
Author(s): Xiaoguang Shao; Kun Gao; Lily Lv; Guoqiang Ni
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Paper Abstract

One of the key procedures in color image compression is to extract its region of interests (ROIs) and evaluate different compression ratios. A new non-uniform color image compression algorithm with high efficiency is proposed in this paper by using a biology-motivated selective attention model for the effective extraction of ROIs in natural images. When the ROIs have been extracted and labeled in the image, the subsequent work is to encode the ROIs and other regions with different compression ratios via popular JPEG algorithm. Furthermore, experiment results and quantitative and qualitative analysis in the paper show perfect performance when comparing with other traditional color image compression approaches.

Paper Details

Date Published: 9 November 2010
PDF: 8 pages
Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78501G (9 November 2010); doi: 10.1117/12.869739
Show Author Affiliations
Xiaoguang Shao, Beijing Institute of Technology (China)
Kun Gao, Beijing Institute of Technology (China)
Lily Lv, Beijing Institute of Technology (China)
Guoqiang Ni, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 7850:
Optoelectronic Imaging and Multimedia Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng; Tsutomu Shimura, Editor(s)

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