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Lossless Color Image Compression Using Tuned Degree-K Zerotree Wavelet Coding

  • Li Wern ChewEmail author
  • Li-Minn Ang
  • Kah Phooi Seng
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 52)

Abstract

This chapter presents a lossless color image compression scheme using the degree-k zerotree coding technique. From studies carried out on the degree-k zerotree coding, it has been found that at lower bit-rates, a higher degree zerotree coding gives a better coding performance whereas at higher bit-rates, coding with a lower degree zerotree is more efficient. Hence, the degree of zerotree tested is tuned in each encoding pass in the proposed Tuned Degree-K Zerotree Wavelet (TDKZW) coding to obtain an optimal compression performance. Since the TDKZW coder uses the set-partitioning approach similar to the Set-Partitioning in Hierarchical Trees (SPIHT) coder, it allows embedded coding and also enables progressive transmission to take place. In addition, a new spatial orientation tree (SOT) structure for color coding is also proposed here for low memory implementation of the TDKZW coder (LM-TDKZW). Simulation results on standard test images show that the proposed TDKZW coder gives a better lossless color image compression performance than the SPIHT coder. The results also show that the proposed LM-TDKZW coder not only requires as little as 6.25% of the memory needed by the SPIHT coder, it is able to achieve an almost equivalent lossless compression performance as the SPIHT coder.

Color image compression Degree-k zerotree coding Lossless compression Spatial orientation tree structure Wavelet-based image coding 

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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Department of Electrical and Electronic EngineeringThe University of NottinghamSelangorMalaysia

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