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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 10, Iss. 1 — Jan. 10, 2012
  • pp: 011001–

Unsupervised regions of interest extraction for color image compression

Xiaoguang Shao, Kun Gao, Lili Lv, and Guoqiang Ni  »View Author Affiliations

Chinese Optics Letters, Vol. 10, Issue 1, pp. 011001- (2012)

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A novel unsupervised approach for regions of interest (ROI) extraction that combines the modified visual attention model and clustering analysis method is proposed. Then the non-uniform color image compression algorithm is followed to compress ROI and other regions with different compression ratios through the JPEG image compression algorithm. The reconstruction algorithm of the compressed image is similar to that of the JPEG algorithm. Experimental results show that the proposed method has better performance in terms of compression ratio and fidelity when comparing with other traditional approaches.

© 2012 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(150.0150) Machine vision : Machine vision
(150.1135) Machine vision : Algorithms

Xiaoguang Shao, Kun Gao, Lili Lv, and Guoqiang Ni, "Unsupervised regions of interest extraction for color image compression," Chin. Opt. Lett. 10, 011001- (2012)

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