Full Paper View Go Back
Bidyut Saha1
Section:Research Paper, Product Type: Isroset-Journal
Vol.3 ,
Issue.3 , pp.1-5, May-2015
Online published on Jun 30, 2015
Copyright © Bidyut Saha . 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.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Bidyut Saha, “A Comparative Analysis of Histogram Equalization Based Image Enhancement Technique for Brightness Preservation,” International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.3, pp.1-5, 2015.
MLA Style Citation: Bidyut Saha "A Comparative Analysis of Histogram Equalization Based Image Enhancement Technique for Brightness Preservation." International Journal of Scientific Research in Computer Science and Engineering 3.3 (2015): 1-5.
APA Style Citation: Bidyut Saha, (2015). A Comparative Analysis of Histogram Equalization Based Image Enhancement Technique for Brightness Preservation. International Journal of Scientific Research in Computer Science and Engineering, 3(3), 1-5.
BibTex Style Citation:
@article{Saha_2015,
author = {Bidyut Saha},
title = {A Comparative Analysis of Histogram Equalization Based Image Enhancement Technique for Brightness Preservation},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {5 2015},
volume = {3},
Issue = {3},
month = {5},
year = {2015},
issn = {2347-2693},
pages = {1-5},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=193},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=193
TI - A Comparative Analysis of Histogram Equalization Based Image Enhancement Technique for Brightness Preservation
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Bidyut Saha
PY - 2015
DA - 2015/06/30
PB - IJCSE, Indore, INDIA
SP - 1-5
IS - 3
VL - 3
SN - 2347-2693
ER -
2421 Views
2348 Downloads
2200 Downloads
Abstract :
Histogram Equalization (HE) is a simple and effective image enhancement technique. But, it tends to change the mean brightness of the image to the middle level of the permitted range, and hence is not a very suitable for consumer product. While preserving the original brightness is essential to avoid annoying artifacts. To preserve brightness and to enhance contrast of image, numerous methods are introduced, but many of them present unwanted artefacts such as intensity saturation, over-enhancement and noise amplification. In the present project , available histogram equalization based methods will be reviewed and compared with image contrast.
Key-Words / Index Term :
Histogram Equalization, MMBEBHE, BI-Histogram Equalization
References :
[1]. Raju. A, Dwarakish. S. G and D. Venkat Reddy, “International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6, No.5, p.p.353-366, (2013).
[2]. Karen A Panetta, Eric J. Wharton, Sos S. Agaian, “IEEE Transactions on Systems, Man and Cybernetics-Part B:Cybernetics, Vol 38, No-1, Feb-2008.
[3]. David Menotti, Laurent Najman, Jacques Facon and Arnaldo de A. Araujo on “Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving” , IEEE Transactions on Consumer Electronics, Vol-53, No-3, August-2007.
[4]. Rafael C Gonzalez and Richard E Woods, Digital Image Processing, Pearson Education, Second Edition, 2002.
You do not have rights to view the full text article.
Please contact administration for subscription to Journal or individual article.
Mail us at support@isroset.org or view contact page for more details.
