Multiresolution HVS and statistically based image coding scheme

Zadeh, Pooneh Bagheri and Sheikh Akbari, Akbar and Buggy, Tom and Soraghan, John (2010) Multiresolution HVS and statistically based image coding scheme. Multimedia Tools and Applications, 49 (2). pp. 347-370. ISSN 1380-7501

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Abstract

In this paper a novel multiresolution human visual system and statistically based image coding scheme is presented. It decorrelates the input image into a number of subbands using a lifting based wavelet transform. The codec employs a novel statistical encoding algorithm to code the coefficients in the detail subbands. Perceptual weights are applied to regulate the threshold value of each detail subband that is required in the statistical encoding process. The baseband coefficients are losslessly coded. An extension of the codec to the progressive transmission of images is also developed. To evaluate the performance of the coding scheme, it was applied to a number of test images and its performance with and without perceptual weights is evaluated. The results indicate significant improvement in both subjective and objective quality of the reconstructed images when perceptual weights are employed. The performance of the proposed technique was also compared to JPEG and JPEG2000. The results show that the proposed coding scheme outperforms both coding standards at low compression ratios, while offering satisfactory performance at higher compression ratios.

Creators(s): Zadeh, Pooneh Bagheri, Sheikh Akbari, Akbar, Buggy, Tom and Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391;
Item type:Article
ID code:14869
Keywords:image compression, statistical parameters, perceptual weights discrete wavelet transform, Electrical engineering. Electronics Nuclear engineering, Hardware and Architecture, Media Technology, Software, Computer Networks and Communications
Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
Department:Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Strathprints Administrator
Date deposited:22 Sep 2010 14:09
Last modified:20 Jan 2021 18:17
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URI:https://strathprints.strath.ac.uk/id/eprint/14869
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