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Performance Study of Several Methods and Selected Wavelets for Image Compression

by Md. Mustafizur Rahman, Wang Fang, Mursheda Akter, Shahina Haque
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 13
Year of Publication: 2014
Authors: Md. Mustafizur Rahman, Wang Fang, Mursheda Akter, Shahina Haque
10.5120/18135-9288

Md. Mustafizur Rahman, Wang Fang, Mursheda Akter, Shahina Haque . Performance Study of Several Methods and Selected Wavelets for Image Compression. International Journal of Computer Applications. 103, 13 ( October 2014), 21-27. DOI=10.5120/18135-9288

@article{ 10.5120/18135-9288,
author = { Md. Mustafizur Rahman, Wang Fang, Mursheda Akter, Shahina Haque },
title = { Performance Study of Several Methods and Selected Wavelets for Image Compression },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 13 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 21-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number13/18135-9288/ },
doi = { 10.5120/18135-9288 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:28.436837+05:30
%A Md. Mustafizur Rahman
%A Wang Fang
%A Mursheda Akter
%A Shahina Haque
%T Performance Study of Several Methods and Selected Wavelets for Image Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 13
%P 21-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image compression is an application of data compression on digital images, which is in high demand as it reduces the computational time and consequently the cost in image storage and transmission. The basis for image compression is to remove redundant and unimportant data while to keep the compressed image quality in an acceptable range. In this work, Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) methods are used to process a test image is measured and compared in terms of parameters such as compression ratio, L2-norm error, mean squared error (MSE), peak signal- to-noise ratio (PSNR) and visual quality. The performance of several wavelets using DWT is also measured and compared in terms of the parameters mentioned above.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fourier Transform(FT) Fast Fourier transform(FFT) Discrete Cosine Transform(DCT) Wavelet Transform(WT) Peak Signal-to-Noise Ratio(PSNR) Mean Square Error(MSE) Compression Ratio(CR).

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