Paper
9 November 2010 A new efficient method for color image compression based on visual attention mechanism
Xiaoguang Shao, Kun Gao, Lily Lv, Guoqiang Ni
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image compression

Visualization

Image processing

Feature extraction

MATLAB

Visual compression

Visual process modeling

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