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An overview to various image compression techniques

Published on November 2013 by Mohammad Naushad, Pravin Kshirsagar, Mohammad Burhan
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2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 1
November 2013
Authors: Mohammad Naushad, Pravin Kshirsagar, Mohammad Burhan
19c91836-91c3-4336-8996-7ab79068552f

Mohammad Naushad, Pravin Kshirsagar, Mohammad Burhan . An overview to various image compression techniques. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 1 (November 2013), 0-0.

@article{
author = { Mohammad Naushad, Pravin Kshirsagar, Mohammad Burhan },
title = { An overview to various image compression techniques },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { November 2013 },
volume = { NCIPET },
number = { 1 },
month = { November },
year = { 2013 },
issn = 2249-0868,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/ncipet/number1/549-1323/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A Mohammad Naushad
%A Pravin Kshirsagar
%A Mohammad Burhan
%T An overview to various image compression techniques
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 2249-0868
%V NCIPET
%N 1
%P 0-0
%D 2013
%I International Journal of Applied Information Systems
Abstract

The area of image compression is applicable to various fields of image processing. On the basis of analyzing the current image compression Techniques this paper presents the hybrid technique using the discrete cosine Transform (DCT) and the discrete wavelet transform (DWT) is presented. We observe evaluation and comparative results for DCT, DWT and hybrid DWT-DCT compression techniques. Using the Power Signal to Noise Ratio (PSNR) as a measure of quality, we observe that DWT with a two-threshold method named "improved-DWT" provides a better quality of image compared to DCT and to DWT with a one-threshold method. Finally, we observe that the combination of the two techniques, named improved-DWT-DCT compression technique, showing that it yields a better performance than DCT –based JPEG in terms of PSNR.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Discrete Cosine Transform (DCT) discrete wavelets transform (DWT) DPCM Differential Pulse code modulation.