CFP last date
20 December 2024
Reseach Article

Monochrome Image Compression using Log-Gabor Filter

by Sanjay J. Bagul, Navinchandra G.shimpi, Pradeep M.patil
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 4
Year of Publication: 2014
Authors: Sanjay J. Bagul, Navinchandra G.shimpi, Pradeep M.patil
10.5120/18367-9513

Sanjay J. Bagul, Navinchandra G.shimpi, Pradeep M.patil . Monochrome Image Compression using Log-Gabor Filter. International Journal of Computer Applications. 105, 4 ( November 2014), 31-35. DOI=10.5120/18367-9513

@article{ 10.5120/18367-9513,
author = { Sanjay J. Bagul, Navinchandra G.shimpi, Pradeep M.patil },
title = { Monochrome Image Compression using Log-Gabor Filter },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 4 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number4/18367-9513/ },
doi = { 10.5120/18367-9513 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:36:51.232566+05:30
%A Sanjay J. Bagul
%A Navinchandra G.shimpi
%A Pradeep M.patil
%T Monochrome Image Compression using Log-Gabor Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 4
%P 31-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data is basic component of information and available in various formats like textual, graphical, etc. An image is a type of graphical data. Various programs using complex graphics are growing in the fields of computing applications such as games, education, desktop publishing, graphical design and many more. High compression ratio severely affects the quality of the image. This paper attempts to improve compression ratio while at the same time minimizing the degradation in quality of images. In this paper compression of the images is based on Log-Gabor filtering that removes the redundant information from a given image. This filter tries to maintain the image quality while reducing storage requirements. Log-Gabor filter is implemented in MATLAB and applied to images of various resolutions, sizes and types. The image filtered by Log-Gabor filter occupies less storage space and has better quality. The resultant image has increased compression ratio compared to the original image indicating high degree of image compression.

References
  1. J. G. Daugman, "Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression," IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 36, no. 7, pp. 1169 - 1179 , Jul 1988.
  2. H. Wang and H. Yan, "Efficient implementation of Gabor transforms for image compression," Electronics Letters, vol. 28, no. 9, pp. 870-871, Apr 1992.
  3. H. Wang and H. Yan, "Adaptive Gabor discrete cosine transforms for image compression," Electronics Letters, vol. 28, no. 18, pp. 1755 - 1756, Aug 1992.
  4. J. L. Gouronc and Jennie Si, "A Near Optimal Algorithm For Image Compression Using Gabor Expansion," in IEEE International Symposium on Circuits and Systems(ISCAS), 1993, pp. 251-254.
  5. Shidong Li, "A generalized non-separable 2-D discrete Gabor expansion for image representation and compression," in Proceedings of IEEE International Conference Image Processing(ICIP), vol. 1, Austin, TX , 1994, pp. 810 - 814.
  6. K. S. Prashant, V. John Mathews, and P. J. Hahn, "A new model of perceptual threshold functions for application in image compression systems," in Proceedings of Data Compression Conference (DCC), Snowbird, UT, 1995, pp. 371 - 380.
  7. A. S. Ragab, A. S. A. Mohamed, and M. S. Hamid, "Efficiency of analytical transforms for image compression," in Proceedings of the Fifteenth National Radio Science Conference(NRSC), Cairo, 1998, pp. B16/1 - B16/10.
  8. D. L. Donoho, M. Vetterli, R. A. DeVore, and I. Daubechies, "Data compression and harmonic analysis," IEEE Transactions on Information Theory, vol. 44, no. 6, pp. 2435 - 2476, Oct 1998.
  9. P. Turcza and T. P. Zielinski, "Fast cosine Gabor transform and its application to image compression," in Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Pittsburgh, PA, 1998, pp. 461-464.
  10. R. A. Baxter, "SAR image compression with the Gabor transform," IEEE Transactions on Geoscience and Remote Sensing, vol. 37, no. 1, pp. 574 - 588, Jan 1999.
  11. S. Fischer and G. Cristobal, "Minimum entropy transform using Gabor wavelets for image compression," in Proceedings of 11th International Conference on Image Analysis and Processing, Palermo, 2001, pp. 428 - 433.
  12. J. Balle, "Subjective evaluation of texture similarity metrics for compression applications," in Picture Coding Symposium (PCS), Krakow, 2012, pp. 241 - 244.
  13. A. Wang, S. Sivaramakrishnan, and A. Molnar, "A 180nm CMOS image sensor with on-chip optoelectronic image compression," in IEEE Custom Integrated Circuits Conference (CICC), San Jose, CA, 2012, pp. 1 - 4.
  14. Ji-liang Li, Xiang-zhong Fang, and Jun Hou, "Mean shift based log-Gabor wavelet image coding," Journal of Zhejiang University Science Applied Physics and Engineering, vol. 8, no. 4, pp. 620-624, Apr 2007.
  15. Daniel Gonzalez-Jimenez and Jose Luis Alba-Castro, Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction, 2008.
  16. Zehira Haddad, Azeddine Beghdadi, Amina Serir, and Anissa Mokraoui, "Wave atoms based compression method for finger print images," Pattern Recognition, vol. 46, pp. 2450-2464, 2013.
  17. Michael P. Eckert and Andrew P. Bradley, "Perceptual quality metrics applied to still image compression," Signal Processing, vol. 70, pp. 177-200, 1998.
  18. Sylvain Fischer, Filip Sroubek, Laurent Perrinet, Rafael Redondo, and Gabriel Cristobal, "Self-Invertible 2D Log-Gabor Wavelets," International Journal of Computer Vision, vol. 75, no. 2, pp. 231-246, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Monochrome image Image compression Gabor filter Log-Gabor filter JPEG compression.