Reduced memory SPIHT coding using wavelet transform with post-processing

Li Wern Chew, Li Minn Ang, Kah Phooi Seng

Research output: Book chapter/Published conference paperConference paper

3 Citations (Scopus)

Abstract

Traditional wavelet-based image coding applies the discrete wavelet transform (DWT) on an image using filter banks over rings of characteristic zero. As the level of the DWT decomposition increases, the number of bits needed to represent the wavelet coefficients also increases. A significant amount of memory is needed to store these wavelet coefficients especially when the level of DWT decomposition is high. In this paper, a post-processing method is proposed to set the amplitude of the wavelet coefficients to pre-defined N-bits. The Set-Partitioning in Hierarchical Trees (SPIHT) coding is then performed to encode these coefficients to achieve compression. The main advantage of our proposed work is the significant reduction in memory requirements for wavelet coefficients storage during bit-plane coding. Simulation results show that our proposed SPIHT coding using wavelet transform with post-processing gives an equally good compression performance when M-3 ≤ N ≤ M-1 where M and N are the number of bits needed to represent the largest wavelet coefficient without and with post-processing respectively.

Original languageEnglish
Title of host publication2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
Pages371-374
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). Reduced memory SPIHT coding using wavelet transform with post-processing. In 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 (Vol. 1, pp. 371-374). [5336139] https://doi.org/10.1109/IHMSC.2009.101