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Reseach Article

Performance Evaluation of Block Truncation Coding for Image Compression

Published on May 2015 by Nilesh Kumar Dewangan, Kavita Thakur
National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ACEWRM2015 - Number 3
May 2015
Authors: Nilesh Kumar Dewangan, Kavita Thakur
eb3d6b9b-c3fb-455a-95cf-eb669a992675

Nilesh Kumar Dewangan, Kavita Thakur . Performance Evaluation of Block Truncation Coding for Image Compression. National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ACEWRM2015, 3 (May 2015), 1-5.

@article{
author = { Nilesh Kumar Dewangan, Kavita Thakur },
title = { Performance Evaluation of Block Truncation Coding for Image Compression },
journal = { National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { May 2015 },
volume = { ACEWRM2015 },
number = { 3 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/acewrm2015/number3/20909-6036/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A Nilesh Kumar Dewangan
%A Kavita Thakur
%T Performance Evaluation of Block Truncation Coding for Image Compression
%J National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ACEWRM2015
%N 3
%P 1-5
%D 2015
%I International Journal of Computer Applications
Abstract

This paper addresses the area of image compression as it is applicable to various fields of image processing. On the basis of evaluating and analyzing the current image compression techniques this paper presents Parallel Implementation of Block Truncation Coding (BTC) for Image Compression. It also includes various benefits of using image compression techniques.

References
  1. Gonzalez R. C. and Woods R. E Digital image Processing, 2nd pp. 100-110 Prentice Hall, July .
  2. Gonzalez R. C. and Woods Richard C. , Digital image Processing, Addison –Weslely,1992.
  3. Russ, John C. , The Image processing Handbook, 2nd ed. CRC Press, 1995.
  4. Jahne, Bernd, Digital image Processing: Concept, Algorithm and Scientific Application, 2nd ed. Springer-Verlag,1993.
  5. S. Annudurai, R. Shanmugalakhmi, fundamental of digital image processing, Pearson sixth impression 2011.
  6. Subramanya A, "Image Compression Technique," Potentials IEEE, Vol. 20, Issue 1, pp 19-23, Feb-March 2001,
  7. P. Franti, P. Nevalainen, and T. Kaudoranta, "Compression of Digital Image by Block Truncation Coding: A Survey", Computer Journal, Vol. 37, No. 4, pp. 308-332, 1994.
  8. Y. C. Hu, "Improved Block Truncation Coding for Image Compression:, IEE Electronics Letters, Vol. 39, No. 19, pp. 1377- 1379, 2003.
  9. Y. C. Hu, "Low-Complex and Low-bit-rate Image Compression Scheme Based on AMBTC", Optical Engineering, Vol. 42, No. 7, pp. 1964-1975, 2003.
  10. A. Gibbons and W. Rytter, "Efficient Parallel Algorithms" Cambridge Univ. Press, 1988.
  11. Hong Zhang, Xiaofei Zhang & Shun Cao, " Analysis & Evaluation of Some Image Compression Techniques," High Performance Computing in Asia Pacific Region, 2000 Proceedings, 4th Int. Conference, vol. 2, pp 799-803,14-17 May, 2000
  12. Bheshaj Kumar, Kavita Thakur "Parallel Implementation for Fast and Efficient Image Compression in Spatial Domain"2011 3rd International Conference on Machine Learning and Computing (ICMLC 2011)
  13. Delp E. J. , Mitchell O. R. (1979) Image Coding Using Block Truncation Coding. IEEE Transactions on Communications, 27, 1335-1342
Index Terms

Computer Science
Information Sciences

Keywords

Btc Compression Ratio Compression Rate Redundancy Lossless And Lossy