Gabor Wavelet Transform in Image Compression

Authors

  • Ali Hassan Al-Fayadh University of Kufa
  • Hind Rostom Mohammed University of Kufa
  • Raghad Sahib Al-shimsah University of Kufa

DOI:

https://doi.org/10.31642/JoKMC/2018/010613

Keywords:

Gabor wavelet , JPEG2000, compression, milt-resolution, , miltorientation.

Abstract

In the present paper, an important mathematical transform which is called Gabor transform be used to develop a method for image compression. Gabor transform is a type of wavelet-based transform. It is embedded in the standard compression algorithm (JPEG2000) as a mother wavelet. Based on the obtained results we believe that Gabor wavelet transform can provide the optimal resolution in both the time and frequency domains, as well as it seems to be the optimal basis to extract local features such as discontinuities. These advantages of Gabor wavelet transform make it an efficient transform for compression.  The proposed compression system is a new approach that achieves a high compression ratio with acceptable visual quality by exploiting the advantages of Gabor wavelets .The simulation results show that the proposed model gives a good compression images that could be competitive to JPEG2000 using Haar wavelet.

Downloads

Download data is not yet available.

References

Mark Nelson,”The Data Compression

Book”,second Edition,2011.

Rafael C. Gonzalez and Richard E.Woods , "

Digital Image Processing ", Prentice Hall,3rd.

Edition, 2008.

Mohammed Ghanbari,”Standard codecs image

compression to advanced video coding”, 3rd.

Edition ,2011.

Wei-lun Chao, “Gabor wavelet transform and

its application” ,paper,2011 .

Vidya P., “Gabor Wavelet Based Edge

detection on Hexagonal sampled Grid”, IJECT

Vol. 2, Issue 2ISSN : 2230-7109(Online), India,

June, 2011.

Grgic S., Kers K. and Grgic M., "Image

Compression Using Wavelet", In: IEEE ,1999.

David Salomon,”Data compression” ,4th.

Edition,2007.

Management Council of the Consultative

Committee for Space Data Systems CCSDS (CCSDS

Secretariat) ,”Image Data Compression”, issue1,

Washington, DC, USA,2007.

Burcu Kepenekci, “Face Recognition Using

Gabor Wavelet Transform”, Master’s Thesis, in

electrical and electronics engineering-the Middle

East Technical University,2001.

Hans G. Feichtinger, Thomas Strohmer (Eds.),

Gabor Analysis and Algorithms: Theory and

Applications,1997.

Gareth Loy ,Fast Computation of the Gabor

Wavelet Transform, DICTA Journal , Australian

National University, Canberra,2002.

James S. Walker,Ying-Jui Chen,Tarek M.

Elgindi, Comparison of the JPEG2000 lossy image

compression algorithm with WDR-based algorithms ,

University ofWisconsin–Eau Claire,2005.

Michael Dyer, Saeid Nooshabadi, David S.

Taubman, Design and Analysis of System on a Chip

Encoder for JPEG2000, IEEE Transactions on

Circuits and Systems , vol. 19, no. 2, pp. 215-225,

Anusorn Jitkam , Satra Wongthanavasu, Image

Compression using Modified Haar

Wavelet-Base Vector Quantization , ECTI

TRANSACTIONS ON COMPUTER AND

INFORMATION TECHNOLOGY VOL.3, NO.1

MAY 2007.

Fischer S., Cristóbal G., and Redondo, R.,

“Sparse over complete Gabor Wavelet

representation Based on local competitions”, IEEE

Trans. on Image Processing, 15, pp. 265-272, 2006.

Downloads

Published

2012-12-30

How to Cite

Al-Fayadh, A. H., Mohammed, H. R., & Al-shimsah, R. S. (2012). Gabor Wavelet Transform in Image Compression. Journal of Kufa for Mathematics and Computer, 1(6), 107–113. https://doi.org/10.31642/JoKMC/2018/010613

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.