An optimum approach for image compression: Tuned degree-K zerotree Wavelet coding

Li Wern Chew, Wai Chong Chia, Li minn Ang, Kah Phooi Seng

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)

    Abstract

    This paper presents an image compression technique called the Tuned Degree-K Zerotree Wavelet (TDKZW) coding which is targeted at single-encoding, multiple-decoding image processing applications. In the proposed work, the degree of zerotree tested is tuned in each encoding pass to achieve an optimal compression performance. The TDKZW coder uses the set-partitioning approach which provides embedded coding and makes progressive transmission possible. Simulation results which were performed for both lossless and lossy compression show that the proposed TDKZW coder gives a better compression performance than the SPIHT coder.

    Original languageEnglish
    JournalIAENG International Journal of Computer Science
    Volume36
    Issue number2
    Publication statusPublished - 01 May 2009

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