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Hybrid Image Compression using orthogonal wavelets


P.M.K.Prasad, G.B.S.R. Naidu, Ch.Babji Prasad, D.Srinivasa Rao
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In this paper, a new algorithm is introduced for analyzing images in a better way based on the design of wavelets. Wavelet algorithms process data at different scales or resolutions. They have advantages over traditional fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes. The fundamental idea behind wavelets is to analyze according to scale. To construct a wavelet of some practical utility, we rarely start by drawing a waveform. Instead, it usually makes more sense to design the appropriate quadrature mirror filters, and then use them to create the waveform. Here, later case is used to design the wavelet and Lossless predictive coding used to compress the image. Proposed hybrid algorithm gives better results, especially in getting less entropy values.

P.M.K.Prasad, G.B.S.R. Naidu, Ch.Babji Prasad, D.Srinivasa Rao

JPEG2000, Discrete Wavelet Transform (DWT), & Lossless Predictive coding


[1] Z. Fan and R. D. Queiroz. Maximum likelihood estimation of  JPEG quantization table in the identification of Bitmap Compression. IEEE, 948-951, 2000.

[2] Charilaos Christopoulos, Athanassios Skodras, Touradj Ebrahimi,”The JPEG2000 still Image  coding system: An overview”. IEEE, 1103-1127, November 2000.

[3] G. K. Wallace, “The JPEG Still Picture Compression Standard”, IEEE Trans. Consumer Electronics, Vol. 38, No 1, Feb. 1992.

[4] W. B. Pennebaker and J. L. Mitcell, “JPEG: Still Image Data Compression Stndard”, Van Nostrand Reinhold, 1993.

[5] V. Bhaskaran and K. Konstantinides, “Image and Video Compression Standards: Algorithms and Applications”, 2nd Ed., Kluwer Academic Publishers.

[6] ISO/IEC JTC1/SC29/WG1 N505, “Call for contributions for JPEG 2000 (JTC 1.29.14, 15444):Image Coding System,” March 1997.

[7] ISO/IEC JTC1/SC29/WG1 N390R, “New work item: JPEG 2000 image coding system,” March 1997.

[8] M. Boliek, C. Christopoulos and E. Majani (editors), “JPEG2000 Part I Final Draft International Standard,” (ISO/IEC FDIS15444-1), ISO/IEC JTC1/SC29/

[9] P.M.K. Prasad, Prabhakar.Telegarapu, G. Uma Madhuri,” Image Compression  using Orthogonal Wavelets viewed from Peak Signal to Noise Ratio and Computation time” International Journal of Computer Applications (0975 – 888) Volume 47– No.4, June 2012,,P.P.28-34

[10] T. Acharya and A. K. Ray, Image Processing: Principles and Applications. Hoboken, NJ: John Wiley & Sons, 2005

[11] Alex Fukunaga and Andre Stechert, Evolving Nonlinear Predictive Models for Lossless Image Compression with Genetic Programming,

[12]  S.Devendra,, P.M.K.Prasad, “Lifting Bi-orthogonal Wavelet Transform

         Based Edge Feature Extraction” International Journal of Advanced

         Trends in Computer Science and Engineering, ISSN 2278-3091,

         Vol.3 , No.5, Pages : 68- 71 (2014).


Publication Details

Published in : Volume 1 | Issue 1 | January-Febuary - 2015
Date of Publication Print ISSN Online ISSN
2015-02-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
75-79 IJSRSET15115   Technoscience Academy

Cite This Article

P.M.K.Prasad, G.B.S.R. Naidu, Ch.Babji Prasad, D.Srinivasa Rao, "Hybrid Image Compression using orthogonal wavelets", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.75-79, January-Febuary-2015.
URL : http://ijsrset.com/IJSRSET15115.php




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