Special Section on Perceptually Driven Visual Information Analysis

Wavelet-based image coding using saliency map

[+] Author Affiliations
Radoslav Vargic, Jaroslav Polec

Slovak University of Technology in Bratislava, Institute of Telecommunications, Ilkovičova 3, Bratislava 812 19, Slovakia

Júlia Kučerová

Comenius University in Bratislava, Faculty of Mathematics, Physics and Informatics, Department of Applied Informatics, Mlynská Dolina, Bratislava 842 48, Slovakia

J. Electron. Imaging. 25(6), 061610 (Oct 11, 2016). doi:10.1117/1.JEI.25.6.061610
History: Received March 16, 2016; Accepted September 15, 2016
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Abstract.  Visual information is very important in human perceiving of the surrounding world. During the observation of the considered scene, some image parts are more salient than others. This fact is conventionally addressed using the regions of interest approach. We are presenting an approach that captures the saliency information per pixel basis using one continuous saliency map for a whole image and which is directly used in the lossy image compression algorithm. Although for the encoding/decoding part of the algorithm, the notion region is not necessary anymore; the resulting method can, due to its nature, efficiently emulate large amounts of regions of interest with various significance. We provide reference implementation of this approach based on the set partitioning in hierarchical trees (SPIHT) algorithm and show that the proposed method is effective and has potential to achieve significantly better results in comparison to the original SPIHT algorithm. The approach is not limited to SPIHT algorithm and can be coupled with, e.g., JPEG 2000 as well.

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Citation

Radoslav Vargic ; Júlia Kučerová and Jaroslav Polec
"Wavelet-based image coding using saliency map", J. Electron. Imaging. 25(6), 061610 (Oct 11, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.6.061610


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