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Fractal Image Compression Techniques

Nitu 1 , Yogesh Kumar2 , Rahul Rishi3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 229-233, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.229233

Online published on Jan 31, 2019

Copyright © Nitu, Yogesh Kumar, Rahul Rishi . 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.

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IEEE Style Citation: Nitu, Yogesh Kumar, Rahul Rishi, “Fractal Image Compression Techniques,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.229-233, 2019.

MLA Style Citation: Nitu, Yogesh Kumar, Rahul Rishi "Fractal Image Compression Techniques." International Journal of Computer Sciences and Engineering 7.1 (2019): 229-233.

APA Style Citation: Nitu, Yogesh Kumar, Rahul Rishi, (2019). Fractal Image Compression Techniques. International Journal of Computer Sciences and Engineering, 7(1), 229-233.

BibTex Style Citation:
@article{Kumar_2019,
author = {Nitu, Yogesh Kumar, Rahul Rishi},
title = {Fractal Image Compression Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {229-233},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3489},
doi = {https://doi.org/10.26438/ijcse/v7i1.229233}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.229233}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3489
TI - Fractal Image Compression Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Nitu, Yogesh Kumar, Rahul Rishi
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 229-233
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

Digital image are used in several areas. Digital image includes large amount of data. So transmission of such large amount of data require large storage space. Hence to deal which such problems, image compression is used. Image compression is a technique in which redundant information of image is removed, such that only essential information remain. Image compression technique is also helpful in reduce storage size, transmission bandwidth and transmission time. This paper provides review and comparison of different image compression techniques like DCT ( Discrete Cosine Transform ) , DWT ( Discrete Wavelet Transform) and Hybrid (DCT and DWT) and Fractal Image compression by using Affine Transformation and Iterated function system ( FIS). Research finding of this paper helps to build new and more effective image compression technique.

Key-Words / Index Term

DCT (Discrete Cosine Transform), DWT (Discrete Wavelet Transform), Fractal image compression (FIC), Affine Transformation, Iterated function system (FIS)

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