A new efficient method for color image compression based on visual attention mechanism

Xiaoguang Shao; Kun Gao; Lily Lv; Guoqiang Ni

doi:10.1117/12.869739

9 November 2010 A new efficient method for color image compression based on visual attention mechanism

Xiaoguang Shao, Kun Gao, Lily Lv, Guoqiang Ni

Proceedings Volume 7850, Optoelectronic Imaging and Multimedia Technology; 78501G (2010) https://doi.org/10.1117/12.869739
Event: Photonics Asia 2010, 2010, Beijing, China

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.

Citation Download Citation

Xiaoguang Shao, Kun Gao, Lily Lv, and Guoqiang Ni "A new efficient method for color image compression based on visual attention mechanism", Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78501G (9 November 2010); https://doi.org/10.1117/12.869739

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available