Comparisons of wavelets and algorithms based on wavelets and comparing the results with JPEG

In this paper, a comparative study of EZW, STW, SPIHT, SPIHT-3D, LVL_MMC, GBL_MMC_H, GBL_MMC_F algorithms is done by studying the various wavelets namely, haar, daubechies, symlets, coiflets, biorthogonal, reverse biorthogonal and discrete meyer for each of the algorithms mentioned above. It is done by making use of certain image quality measurement techniques, such as, PSNR, MSE and C.R. The values are calculated using the Wavelet toolbox in Matlab. Finally, the best algorithm achieved using the above study is compared, with the default wavelet which is pre-set as biorthogonal4.4, by making use of the Matlab coding.

[1]  Maria Trocan,et al.  An image compression for embedded eye-tracking applications , 2016, 2016 International Symposium on INnovations in Intelligent SysTems and Applications (INISTA).

[2]  Achintya Singhal,et al.  Comparison of different wavelets for watermarking of colored images , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[3]  Oinam Suchitra Devi,et al.  SIGNALS USING TWO WAVELET COEFFIENTS T HRESHOLDING T ECHNIQUES AND THEIR COMPARISIONS , 2013 .

[4]  E. Sharifahmadian,et al.  Wavelet Compression of Multichannel ECG Data by Enhanced Set Partitioning in Hierarchical Trees Algorithm , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Li-bao Zhang,et al.  Efficient Embedded Image Compression Using Optimal Reversible Biorthogonal Integer Wavelet Transform , 2006, 2006 International Conference on Communications, Circuits and Systems.

[6]  USMAN ALI KHAN,et al.  WAVELET BASED IMAGE COMPRESSION USING DIFFERENT TECHNIQUES : A COMPARATIVE STUDY , 2015 .

[7]  Savina Bansal,et al.  Comparison of JPEG and SPIHT image compression algorithms using objective quality measures , 2009, 2009 International Multimedia, Signal Processing and Communication Technologies.

[8]  P. Rajesh Kumar,et al.  Coiflets, artificial neural networks and predictive coding based hybrid image compression methodology , 2014, 2014 2nd International Conference on Devices, Circuits and Systems (ICDCS).

[9]  Yan Wang,et al.  Biorthogonal wavelets in image compression , 2012, 2012 Third International Conference on Intelligent Control and Information Processing.