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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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
Issue number2
Publication statusPublished - May 2009
Externally publishedYes


  • Degree-k zerotree coding
  • Embedded coding
  • Image compression
  • Set-partitioning coding

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