A Comparative Study of Wavelet Coders for Image Compression

  • PL. Chithra
  • K. Srividhya
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8284)


This paper focuses on comparison of different wavelet coders such as SPIHT, SPECK, BISK and TARP for efficient storage and better transmission. Set partition methods like SPIHT, SPECK and BISK (variant of SPECK) are based on the popular bit-plane coding paradigm and gives excellent results for lossless compression. Tarp filtering is better for predicting images with wavelet coefficients. Performance of wavelet coders are evaluated in terms of peak signal noise ratio and bit rate for objective quality assessment of reconstructed image. Experiments on test images identified the optimal wavelet encoder combination. The test results show that Cohen-Daubechies-Feaveau 9/7 along with SPIHT encoder yields comparable compression efficiency over other methods.


Set Partitioning in Hierarchical Trees(SPIHT) Set Partitioned Embedded bloCK Coder(SPECK) Binary Set Splitting with K-d trees(BISK) Image Compression Wavelet Transform 


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • PL. Chithra
    • 1
  • K. Srividhya
    • 1
  1. 1.Department of Computer ScienceUniversity of MadrasChennaiIndia

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