Abstract
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.
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Chithra, P., Srividhya, K. (2013). A Comparative Study of Wavelet Coders for Image Compression. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_27
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DOI: https://doi.org/10.1007/978-3-319-03844-5_27
Publisher Name: Springer, Cham
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