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Review on Fractal Image Compression based on Fast DCT Algorithm

by Krishna Chauhan, Anubhuti Khare
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 14
Year of Publication: 2014
Authors: Krishna Chauhan, Anubhuti Khare
10.5120/17074-7512

Krishna Chauhan, Anubhuti Khare . Review on Fractal Image Compression based on Fast DCT Algorithm. International Journal of Computer Applications. 97, 14 ( July 2014), 10-13. DOI=10.5120/17074-7512

@article{ 10.5120/17074-7512,
author = { Krishna Chauhan, Anubhuti Khare },
title = { Review on Fractal Image Compression based on Fast DCT Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 14 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 10-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number14/17074-7512/ },
doi = { 10.5120/17074-7512 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:06.032721+05:30
%A Krishna Chauhan
%A Anubhuti Khare
%T Review on Fractal Image Compression based on Fast DCT Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 14
%P 10-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fractal image compressions is a lossy compression technique for digital images. It is based on the assumptions that the image redundancies can be efficiently exploited by means of block self-affine transformations . Unlike other compression techniques it considers the interrelations between local (range blocks) and global (domain blocks) data. Use of contractive transform on the space of images encompasses a wide variety of coding scheme. However, the high computational complexity of fractal image encoding greatly restricts its application. This review gives a study of different speed ups using DCT to reduce the searching time .

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Index Terms

Computer Science
Information Sciences

Keywords

Iterated function system Discrete cosine transform Self similarity contractive mapping