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An Image Compression: - A Survey

V.Lakshmi Praba1 , R.S. Rajesh2 , S. Anitha3

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-08 , Page no. 79-82, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si8.7982

Online published on Apr 10, 2019

Copyright © V.Lakshmi Praba, R.S. Rajesh, S. Anitha . 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: V.Lakshmi Praba, R.S. Rajesh, S. Anitha, “An Image Compression: - A Survey,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.08, pp.79-82, 2019.

MLA Style Citation: V.Lakshmi Praba, R.S. Rajesh, S. Anitha "An Image Compression: - A Survey." International Journal of Computer Sciences and Engineering 07.08 (2019): 79-82.

APA Style Citation: V.Lakshmi Praba, R.S. Rajesh, S. Anitha, (2019). An Image Compression: - A Survey. International Journal of Computer Sciences and Engineering, 07(08), 79-82.

BibTex Style Citation:
@article{Praba_2019,
author = {V.Lakshmi Praba, R.S. Rajesh, S. Anitha},
title = {An Image Compression: - A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {07},
Issue = {08},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {79-82},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=921},
doi = {https://doi.org/10.26438/ijcse/v7i8.7982}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.7982}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=921
TI - An Image Compression: - A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - V.Lakshmi Praba, R.S. Rajesh, S. Anitha
PY - 2019
DA - 2019/04/10
PB - IJCSE, Indore, INDIA
SP - 79-82
IS - 08
VL - 07
SN - 2347-2693
ER -

           

Abstract

Image compression is a challenging field in this era of communication. There is a need to learn and examine the literature of image compression, as the demand for images, video sequences and computer animation has increased at very high rate so that the increment is radically over the years. In this paper we illustrate some current developments that have taken place in still image compression. We deal with about special compression methods and also provide a performance comparison. Functionality and morality of compression methods are discussed in a unified manner. This survey reviews more recent articles on image compression and discuss their role in current research directions. There are several image compression algorithms some of them are lossy and some of them are lossless. Thus medical image, pre press industry, art work, remote sensing images for lossless image compression

Key-Words / Index Term

Compression; image; Lossless; Lossy; GAP; EDP;

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