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Reseach Article

Adaptive Byte Compression and Decompression: A New Approach for Fractal Image Compression

by Bhumika Gupta, Ashish Negi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 1
Year of Publication: 2015
Authors: Bhumika Gupta, Ashish Negi
10.5120/19500-0133

Bhumika Gupta, Ashish Negi . Adaptive Byte Compression and Decompression: A New Approach for Fractal Image Compression. International Journal of Computer Applications. 111, 1 ( February 2015), 7-15. DOI=10.5120/19500-0133

@article{ 10.5120/19500-0133,
author = { Bhumika Gupta, Ashish Negi },
title = { Adaptive Byte Compression and Decompression: A New Approach for Fractal Image Compression },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 1 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number1/19500-0133/ },
doi = { 10.5120/19500-0133 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:41.979565+05:30
%A Bhumika Gupta
%A Ashish Negi
%T Adaptive Byte Compression and Decompression: A New Approach for Fractal Image Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 1
%P 7-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
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 the Adaptive byte compression and decompression technique an approach applied to fractal image compression. It also includes various benefits of using image compression techniques

References
  1. Digital Image Processing by R. C. Gonzales and R. E. Woods, Addison-Wesley Publishing Company, 1992.
  2. Two-Dimensional Signal and Image Processing by J. S. Lim, Prentice Hall, 1990.
  3. Subramanya A, "Image Compression Technique," Potentials IEEE, Vol. 20, Issue 1, pp 19-23, Feb-March ,2001.
  4. David Jeff Jackson & Sidney Joel Hannah, "Comparative Analysis of image CompressionTechniques," System Theory 1993, Proceedings SSST'93, 25th Southeastern Symposium,pp 513-517, 7 –9March 1993.
  5. Hong Zhang, Xiaofei Zhang & Shun Cao, " Analysis & Evaluation of Some Image Compression Techniques," High Performance Computing in AsiaPacific Region, 2000 Proceedings, 4th Int. Conference,vol. 2, pp 799-803,14-17 May, 2000
  6. Ming Yang & Nikolaos Bourbakis ,"An Overview of Lossless Digital Image Compression Techniques," Circuits & Systems, 2005 48th Midwest Symposium ,vol. 2 IEEE ,pp 1099-1102,7 – 10 Aug, 2005.
  7. scz-compress. sourceforge. net
  8. . M. Nelson, The Data Compression Book, San Mako, CA: M & T Publishing, Inc. , 1992
  9. Lossless Data Compression, Report Concerning Space Data Systems Standards, CCSDS 120. 0-G-2. Green Book. Issue 2. Washington, D. C. : CCSDS, December 2006.
  10. Gray, R. M. "Fundamentals of Data Compression",International Conference on Information, Communications, and Signal Processing Singapore, September 1997. IEEE Publication, New York.
  11. Sayood, Khalid, Lossless Compression Handbook, Elsevier Science, San Diego, CA, 2003.
  12. Barnsley, M. F, Hurd, L. P, "Fractal Image Compression", AK Peters, Wellesley, MA. (1993).
  13. Martin V Sewell, "Fractal Image Compression," MSc Computing Science project report, 1994.
  14. Bhumika Gupta, "Study Of Various Lossless Image Compression Technique", International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 2, Issue 4, July – August 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Fractal Self-similarity IteratedFunction System(IFS) Fractal image compressin.