Hybrid Image Compression using orthogonal wavelets

Authors(4) :-P.M.K.Prasad, G.B.S.R. Naidu, Ch.Babji Prasad, D.Srinivasa Rao

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.

Authors and Affiliations

Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, India
G.B.S.R. Naidu
Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, India
Ch.Babji Prasad
Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, India
D.Srinivasa Rao
Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, India

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Publication Details

Published in : Volume 1 | Issue 1 | January-Febuary 2015
Date of Publication : 2015-02-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 75-79
Manuscript Number : IJSRSET15115
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET15115

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