World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

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

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • ICV

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

  • New Issue Published

    Its Our pleasure to inform you that, WJERT April 2024 Issue has been Published, Kindly check it on https://www.wjert.org/home/current_issues

  • WJERT: APRIL ISSUE PUBLISHED

    APRIL 2024 Issue has been successfully launched on 1 APRIL 2024.

  • WJERT New Impact Factor

    WJERT Impact Factor has been Increased to 7.029 for Year 2024.

Indexing

  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.

[Full Text Article] [Download Certificate]