Low memory strip-based image compression for color images

Li Wern Chew, Li Minn Ang, Kah Phooi Seng

Research output: Book chapter/Published conference paperConference paper

2 Citations (Scopus)

Abstract

In this paper, a low memory strip-based image compression for color images using the set-partitioning in hierarchical trees (SPIHT) coding is presented. The proposed coding scheme applies a lower scale of discrete wavelet decomposition and uses a new spatial orientation tree structure to achieve a low memory strip-based coding implementation. It also incorporates a modified SPIHT algorithm which uses a degree-0 to degree-2 zerotree coding methodology to increase the compression efficiency. The main advantage of the proposed work is the significant reduction in both the memory requirements as well as the complexity of the image coder for practical software and hardware implementation. Simulation results on color images also show that the proposed coding scheme gives a better compression performance compared to the traditional SPIHT coding at most bit-rates.

Original languageEnglish
Title of host publication2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
Pages363-366
Number of pages4
Volume1
DOIs
Publication statusPublished - 01 Dec 2009
Event2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 - Hangzhou, Zhejiang, China
Duration: 26 Aug 200927 Aug 2009

Conference

Conference2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
CountryChina
CityHangzhou, Zhejiang
Period26/08/0927/08/09

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  • Cite this

    Chew, L. W., Ang, L. M., & Seng, K. P. (2009). Low memory strip-based image compression for color images. In 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 (Vol. 1, pp. 363-366). [5336137] https://doi.org/10.1109/IHMSC.2009.99