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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Thursday 28 March 2024

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Insight into Fractal Image Compression: A Multifacet View


Volume 24, Issue 2, June 2016, Pages 438–445

 Insight into Fractal Image Compression: A Multifacet View

Mekala Ramesh1, V. Palanisamy2, B. Gopinath3, and Thangavel Rukmangadhan4

1 Computer Science and Engineering, Info Institute of Engineering, Anna University Chennai, India
2 Info Institute of Engineering, Anna University Chennai, India
3 Electronics and Communication Engineering, Info Institute of Engineering, Anna University Chennai, India
4 Department of Electronics, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Bharathiar University, India

Original language: English

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


This paper presents a survey on practical as well as theoretical advancements in fractal image compression (FIC) practice. It is a lossy compression scheme comprises Affine Contractive Transforms, Iterated Functions represented as fractals. It is with a high compression ratio, but entails more time for encoding. Although many schemes are published to speed up encoding, they do not easily satisfy the encoding time or the reconstructed image quality requirements. FIC method incorporating optimization techniques results in better performance of the practical applications.

Author Keywords: FIC, CMT, IFS, image partitioning, Domain Pool Selection.


How to Cite this Article


Mekala Ramesh, V. Palanisamy, B. Gopinath, and Thangavel Rukmangadhan, “Insight into Fractal Image Compression: A Multifacet View,” International Journal of Innovation and Scientific Research, vol. 24, no. 2, pp. 438–445, June 2016.