Open Access Open Access  Restricted Access Subscription or Fee Access

Image Compression Techniques using Curvelet, Contourlet, Ridgelet and Wavelet Transforms – A Review

P. Anandan, Dr.R. S. Sabeenian

Abstract


Image processing holds a very important role in various application fields such as medical, education, surveillance etc. Images are very important documents nowadays; to work with them in some applications they need to be compressed, more or less depending on the purpose of the application. Many different image compression techniques currently exist for the compression of different types of images. Image compression is fundamental to the efficient and cost-effective use of digital imaging technology and applications. An investigation is done on the various types of image compression techniques that exist. This paper deals with study of different available image compression techniques with their performance results.

Keywords


Image Compression, Curvelet Transform, Contourlet Transform, Ridgelet Transform, Fractal Transform.

Full Text:

PDF

References


A.Sivanantha Raja, D.Venugopal, S.Navaneethan, “ An Efficient Coloured Medical Image Compression scheme using Curvelet Transform” , European Journal of Scientific Research, Vol.80 No.3 (2011), pp.416-422.

Walaa M. Abd-Elhafiez, “Image Compression Algorithm using a Fast Curvelet Transform”, International Journal of Computer Science and Telecommunications, Volume 3, Issue 4, April 2012.

S.Esakkirajan, T.Veerakumar, V.Senthil Murugan, R.Sudhakar, “Fingerprint Compression Using Contourlet Transform and Multistage Vector Quantization”, International Journal of Biological and Medical Sciences 1:2 2006.

A.Vasuki, P.T.Vanathi, “Progressive Image Compression Using Contourlet Transform”, International Journal of Recent Trends in Engineering, Vol 2, No. 5, November 2009.

Mohammed Hussien Miry, “ Image Compression using Improved Ridgelet Transform”, IJCCCE, Vol.8, No.1,2008.

K.Prasanthi Jasmine, Dr.P.Rajesh Kumar, K.Naga Prakash, “ An Effective Technique to Compress Images Through Hybrid Wavelet-Ridgelet Transformation”, International Journal of Engineering Research and Applications(IJERA) ISSN: 2248-9622, Vol.2,Issue4, July-August 2012, pp.1949-1954.

Veenadevi.S.V, A.G.Ananth, “Fractal Image Compression of Satellite Imageries”, International Journal of Computer Applications (0975-8887), Volume 30- No.3, September 2011.

Zehira Haddad, Azeddine Beghdadi, Amina Serir, Anissa Mokraoui, “Wave atoms based compression method for fingerprint images” Elsevier Pattern Recognition 46 (2013), pp.2450-2464.

Sndeep Kumar, Nitin Goel, Vedpal Singh, Amit Chaudhary, Nirmal Sirohi, Gurbaj Singh, “Fast and Efficient Medical Image Compression Using Contourlet Transform” Open Journal of Computer Sciences, Vol.1, No.1, ISSN:2336-0089, May 2013, pp.7-13.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.