Multiresolution HVS and statistically based image coding scheme

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...

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Bibliographic Details
Published inMultimedia tools and applications Vol. 49; no. 2; pp. 347 - 370
Main Authors Bagheri Zadeh, Pooneh, Sheikh Akbari, Akbar, Buggy, Tom, Soraghan, John
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.08.2010
Springer Nature B.V
Subjects
Algorithms
Codec
Codes
Coding
Coding standards
Compression ratio
Computer Communication Networks
Computer Science
Data compression
Data Structures and Information Theory
Encoding
Engineering
Image coding
Image compression
Multimedia
Multimedia communications
Multimedia Information Systems
Normal distribution
Performance evaluation
Special Purpose and Application-Based Systems
Studies
Wavelet transforms
Statistical parameters
Perceptual weights
Image compression
Discrete wavelet transform
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-009-0371-z