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