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http://dx.doi.org/10.9717/kmms.2017.20.3.446

Saliency Map Based Color Image Compression for Visual Quality Enhancement of Image  

Jung, Sung-Hwan (Dept. of Computer Engineering, Changwon National University)
Publication Information
Journal of Korea Multimedia Society / v.20, no.3, 2017 , pp. 446-455 More about this Journal
Abstract
A color image compression based on saliency map was proposed. The proposed method provides higher quality in saliency blocks on which people's attention focuses, compared with non-saliency blocks on which the attention less focuses at a given bitrate. The proposed method uses 3 different quantization tables according to each block's saliency level. In the experiment using 6 typical images, we compared the proposed method with JPEG and other conventional methods. As the result, it showed that the proposed method (Qup=0.5*Qx) is about 3.1 to 1.2 dB better than JPEG and others in saliency blocks in PSNR at the almost similar bitrate. In the comparison of result images, the proposed one also showed less error than others in saliency blocks.
Keywords
Visual Attention; Saliency Map; Image Compression;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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