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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

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    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

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Indexing

Abstract

SELECTION OF OPTIMAL BASE WAVELET FOR IMAGE COMPRESSION

Dr. Anil Kumar*

ABSTRACT

Signal compression is the process of converting data files into smaller files for efficiency of storage and transmission. Image compression is a method through which we can reduce the storage space of images which is helpful to increase storage and transmission process?s performance. The image compression is implemented in software using MATLAB?s Wavelet Toolbox.[8,9] The study is carried out on .jpg format images. We describe the comparison of performance of discrete wavelets like Symlet, Daubechies, Coiflet and Haar wavelets. This paper includes the discussion on the basics of wavelet, discrete wavelet transforms, principles of image compression, image compression methodology, the selection of discrete wavelet transform with results and conclusion.

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