Selection of optimal wavelet bases for image compression using SPIHT algorithm

Maria Rehman; Imran Touqir; Wajiha Batool

doi:10.1117/12.2182135

14 February 2015 Selection of optimal wavelet bases for image compression using SPIHT algorithm

Maria Rehman, Imran Touqir, Wajiha Batool

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94450Q (2015) https://doi.org/10.1117/12.2182135
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

Abstract

This paper presents the performance of several wavelet basesin SPIHT coding. Two types of wavelet bases are tested for SPIHT algorithm i.e. orthogonal and biorthogonal wavelet bases. The results of using coefficients of these bases are compared on the basis of Compression Ratio and Peak Signal to Noise Ratio. The paper shows that use of biorthogonal wavelets bases is better than orthogonal wavelet bases. Out of biorthogonal wavelets, bior 4.4 shows good results in SPIHT coding.

Citation Download Citation

Maria Rehman, Imran Touqir, and Wajiha Batool "Selection of optimal wavelet bases for image compression using SPIHT algorithm", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94450Q (14 February 2015); https://doi.org/10.1117/12.2182135

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