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. © 2013 Springer International Publishing.
CITATION STYLE
Chithra, P. L., & Srividhya, K. (2013). A comparative study of wavelet coders for image compression. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8284 LNAI, pp. 260–269). https://doi.org/10.1007/978-3-319-03844-5_27
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