CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Article:A Comparative study of Image Enhancement using Histogram Approach

by Krishan Kant Lavania, Shivali, Rajiv Kumar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 5
Year of Publication: 2011
Authors: Krishan Kant Lavania, Shivali, Rajiv Kumar
10.5120/3897-5460

Krishan Kant Lavania, Shivali, Rajiv Kumar . Article:A Comparative study of Image Enhancement using Histogram Approach. International Journal of Computer Applications. 32, 5 ( October 2011), 1-6. DOI=10.5120/3897-5460

@article{ 10.5120/3897-5460,
author = { Krishan Kant Lavania, Shivali, Rajiv Kumar },
title = { Article:A Comparative study of Image Enhancement using Histogram Approach },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 5 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number5/3897-5460/ },
doi = { 10.5120/3897-5460 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:21.156052+05:30
%A Krishan Kant Lavania
%A Shivali
%A Rajiv Kumar
%T Article:A Comparative study of Image Enhancement using Histogram Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 5
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents two methods of Image enhancement that improves the visual quality of image. In this paper, the authors compare two histogram techniques: Histogram Equalization and Histogram Specification. Histogram Equalization is a technique that generates a gray map which changes the histogram of an image and redistributing all pixels values to be as close as possible to a user –specified desired histogram. Histogram specification is a technique to enhance certain regions of an image. A measure of enhancement (EME) based on contrast respect to transform is used as a tool for evaluating the performance of the enhancement techniques. The author implement and analyze the result of these two approaches based on EME using Image Processing Toolbox (IPT) and their performance evaluated on various images.

References
  1. Aniati Murni
  2. 2000, Image Processing, class handouts, Faculty of Computer Science, University of Indonesia, Jakarta.
  3. Dah-Chung Chang , Wen-Rong Wu,” Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation”, IEEE Transactions on Medical Imaging, Vol. 17, No. 4, August 1998.
  4. Debashis Sen and Sankar K. Pal,” Novel Automatic Exact Histogram Specification for Contrast Enhancement in Images”, Center for Soft Computing Research, Indian Statistical Institute 978-1-4244-9799-7/11/$26.00 ©2011 IEEE.
  5. Gabriel Thomas, Daniel Flores-Tapia, and Stephen Pistorius,” Histogram Specification: A Fast and Flexible ethod to Process Digital Images”, IEEE Transactions on Instrumentation And Measurement, Vol. 60, No. 5, May 2011.
  6. Gonzalez, Rafael C, Richard E Woods
  7. 1992, Digital Image Processing, Addison-Wesley Publishing Company, Inc, Reading, Massachusetts.
  8. Hojat Yeganeh , Ali Ziaei , Amirhossein Rezaie,” A Novel Approach for Contrast Enhancement Based on Histogram Equalization”, Proceedings of the International Conference on Computer and Communication Engineering 2008 May 13-15, 2008 Kuala Lumpur, Malaysia.
  9. Hossain, Md. Foisal and Alsharif, Mohammad Reza,” Image Enhancement Based on Nonlinear Technique and Logarithmic Transform Coefficient Histogram Matching”, the International Conference on Electrical Engineering 2008, No. O-207, University of the Ryukyus 1-Senbaru, Nishihara, Okinawa 903-0213, Japan.
  10. J.Alex Stark,” Adaptive Image Contrast Enhancement Using Generalizations of Histogram Equalization”, IEEE transactions on Image processing, Vol. 9, No. 5, May 2000.
  11. Komal Vij, Yaduvir Singh,” Enhancement of Images Using Histogram Processing Techniques “, Int. J. Comp. Tech. Appl., Vol 2 (2), 309-313 309 ISSN:2229-6093.
  12. K. R. Castleman (1979). Digital Image Processing. Prentice Hall,Englewood Cliffs, NJ.
  13. Md. Foisal,” Image Enhancement Based on Nonlinear Technique and Logarithmic Transform Coefficient Histogram Matching”, The International Conference on Electrical Engineering 2008 No. O-207
  14. Pavithra P, Ramyashree N, Shruthi T.V Dr. Jharna Majumdar,” Image Enhancement by Histogram Specification Using Multiple Target Images”, Special Issue of IJCCT Vol.1 Issue 2, 3, 4; 2010 for International Conference
  15. ACCTA- 2010, 3-5 August 2010.
  16. Rajesh Garg, Bhawna Mittal, Sheetal Garg,” Histogram Equalization Techniques For Image Enhancement”, I S S N : 2 2 3 0 - 7 1 0 9 (On l i n e ) | I S S N : 2 2 3 0 - 9 5 4 3 ,IJECT Vol. 2, Issue 1, March 2011.
  17. Takashi Kawakami,” Modified Histogram Equalization with Variable Enhancement Degree for Image Contrast Enhancement”, 2009 International Symposium on Intelligent signal Processing and Communication Systems (ISPACS 2009) December 7-9, 2009.
  18. Tzu-Cheng Jen and Sheng-Jyh Wang,” Generalized Histogram Equalization based on Local Characteristics”, 1-4244-0481-9/06/$20.00 C2006 IEEE.
  19. Qian Wang, Liya Chen, Dinggang Shen,” Fast Histogram Equalization for Medical Image Enhancement” 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008.
  20. Yu Wang, Qian Chen, Baomin Zhang,” Image Enhancement Based On Equal Area Dualistic Sub-Image Histogram Equalization Method”, IEEE Transactions on Consumer Electronics Vol. 45 No. 1 February 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement Histogram equalization Histogram Specification EME

Powered by PhDFocusTM