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

Review of Different Local and Global Contrast Enhancement Techniques for a Digital Image

by Shefali Gupta, Yadwinder Kaur
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 18
Year of Publication: 2014
Authors: Shefali Gupta, Yadwinder Kaur
10.5120/17625-8384

Shefali Gupta, Yadwinder Kaur . Review of Different Local and Global Contrast Enhancement Techniques for a Digital Image. International Journal of Computer Applications. 100, 18 ( August 2014), 18-23. DOI=10.5120/17625-8384

@article{ 10.5120/17625-8384,
author = { Shefali Gupta, Yadwinder Kaur },
title = { Review of Different Local and Global Contrast Enhancement Techniques for a Digital Image },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 18 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number18/17625-8384/ },
doi = { 10.5120/17625-8384 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:17.934012+05:30
%A Shefali Gupta
%A Yadwinder Kaur
%T Review of Different Local and Global Contrast Enhancement Techniques for a Digital Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 18
%P 18-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image enhancement is one of the challenging issues in low level image processing. The main aim of image enhancement is to enhance quality of the image so that visual appearance can be improved. Contrast enhancement is an important factor for image enhancement. Histogram based techniques are one of the most important image processing techniques that are used for enhancement tasks. Histogram equalization is a very effective approach to contrast enhancement. However, histogram equalization tends to change the brightness of the image. The present paper describes a review of different local and global contrast enhancement techniques for a digital image.

References
  1. Kotkar V. A. and Gharde S. S. , "review of various image contrast enhancement techniques" International Journal of Innovative Research in Science, Engineering and Technology Vol. 2, Issue 7, July 2013.
  2. Rafael C. Gonzalez, and Richard E. Woods, "Digital Image Processing", 2nd edition, Prentice Hall, 2002.
  3. Kim Y. -T. , "contrast enhancement using brightness preserving Bi-Histogram equalization", IEEE Trans. Consumer Electronics, vol. 43, no. 1, pp. 1-8, Feb. 1997.
  4. Ibrahim H. , and Kong N. S. P. , "Brightness preserving dynamic histogram equalization for image contrast enhancement", IEEE Trans. Consumer Electronics, vol. 53, no. 4, pp. 1752 - 1758, November 2007.
  5. D. Menotti, L. Najman, J. Facon, A. A. Araujo,"Multi –Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving", IEEE Trans. On Consumer Electronics, vol. 53, No. 3, Aug. 2007.
  6. Y. Wang, Q. Chen, and B. Zhang, "Image enhancement based on equal area dualistic sub-image histogram equalization method," IEEE Trans. on Consumer Electronics, vol. 45, no. 1, pp. 68-75, Feb. 1999.
  7. S. -D. Chen, A. Ramli, "Contrast enhancement using recursive mean- separate histogram equalization for scalable brightness preservation," IEEE Trans. On Consumer Electronics, vol. 49, no. 4, pp. 1301-1309, Nov. 2003.
  8. Rajesh K. , Harish S. , and Suman, "Comparative Study of CLAHE, DSIHE & DHE Schemes", international journal of research in management, science & technology vol. 1, issue no. 1.
  9. Komal Vij, Yaduvir Singh, "Enhancement of Images Using Histogram Processing Techniques", Int. J. Comp. Tech. Appl. , Vol. 2 (2), 309-313.
  10. Manpreet K. , Jasdeep K. , Jappreet K. , "Survey of Contrast Enhancement Techniques based on Histogram Equalization", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 7, 2011.
  11. Kumar S. , Verma P. , Dahiya M. , Gupta A. , "Presence Of Noise In Dualistic Sub-Image Histogram Equalization Technique of Image Enhancement", International Journal of Engineering Research & Technology (IJERT) Vol. 1 Issue 3, May – 2012.
  12. Kabir M. , Al-Wadud M. , Chae O. , "Brightness Preserving Image Contrast Enhancement using Weighted Mixture of Global and Local Transformation Functions", The International Arab Journal of Information Technology, Vol. 7, No. 4, October 2010.
  13. Vij K. , Singh Y. , " Comparison Between Different Techniques of Image Enhancement", International Journal of VLSI and Signal Processing Applications, Vol. 1, Issue 2 , May 2011,(112- 117) ,ISSN 2231-3133.
  14. Er. Mandeep K. , Er. Kiran J. , Er Virender L. , " Study of Image Enhancement Techniques: A Review", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 4, April 2013, ISSN: 2277 128X.
  15. S. -D. Chen, A. Ramli, "Minimum mean brightness error bihistogram equalization in contrast enhancement," IEEE Trans. on Consumer Electronics, vol. 49, no. 4, pp. 1310-1319, Nov. 2003.
  16. Patel O. , Yogendra P. S. Maravi and Sharma S. , "a comparative study of histogram equalization based image enhancement techniques for brightness preservation and contrast enhancement", Signal & Image Processing: An International Journal (SIPIJ) Vol. 4, No. 5, October 2013.
  17. M. Kim and M. G. Chung, "Recursively Separated and Weighted Histogram Equalization for Brightness Preservation and Contrast Enhancement" IEEE Transactions on Consumer Electronics, vol. no. 54, no. 3, AUGUST 2008.
  18. Dhariwal S. , "Comparative Analysis of Various Image Enhancement Techniques" IJECT Vol. 2, Issue 3, Sept. 2011.
  19. Rajesh Garg, Bhawna Mittal, Sheetal Garg, "Histogram Equalization Techniques for Image Enhancement" IJECT Vol. 2, Issue 1, March 2011.
  20. Ashok Saini, Mohit Bansal, Deepak Sethi, "comparison of original image enhancement using multiple histogram techniques" ijaret, Volume 1, Issue I, Feb 2013.
  21. Pujiono, Pulung N. A, I Ketut Eddy P. , Mochamad H. , "color enhancement of underwater coral reef images using contrast limited adaptive histogram equalization (clahe) with rayleigh distribution" The Proceedings of The 7th ICTS, Bali, May 15th-16th, 2013.
  22. Sasi Gopalan, Madhu S Nair and Souriar Sebastian "Approximation Studies on Image Enhancement Using Fuzzy Technique" International Journal of Advanced Science and Technology, Vol. 10, pp. 11-26, September, 2009.
  23. Takashi K. , Kota M. , and Akira T. , "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.
  24. P. Jagatheeswari, S. Suresh Kumar and M. Rajaram, "A novel approach for contrast enhancement based on histogram equalization followed by median filter" 2009 ARPN Journal of Engineering and Applied Sciences, vol. 4, no. 7, September 2009.
  25. Nicholas Sia Pik Kong, Haidi Ibrahim, and Seng Chun Hoo, "A Literature Review on Histogram Equalization and Its Variations for Digital Image Enhancement" International Journal of Innovation, Management and Technology, Vol. 4, No. 4, August 2013.
  26. J. Alex Stark, "Adaptive Image Contrast Enhancement Using Generalizations of Histogram Equalization" IEEE transactions on image processing, vol. 9, no. 5, may 2000.
  27. Pizer S. M. et. al, "Adaptive Histogram Equalization and its variations" Computer Vision, Graphics, and Image Processing 39, 355-368 (1987).
Index Terms

Computer Science
Information Sciences

Keywords

Image Contrast Enhancement Histogram Equalization BBHE Adaptive Histogram Equalization

Powered by PhDFocusTM