CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Range Limited Quad-Histogram Equalization Method for Image Contrast Enhancement

by Kanchan Pandey, Sapna Singh, Rachana Mishra
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 15
Year of Publication: 2014
Authors: Kanchan Pandey, Sapna Singh, Rachana Mishra
10.5120/15956-5316

Kanchan Pandey, Sapna Singh, Rachana Mishra . Range Limited Quad-Histogram Equalization Method for Image Contrast Enhancement. International Journal of Computer Applications. 91, 15 ( April 2014), 14-20. DOI=10.5120/15956-5316

@article{ 10.5120/15956-5316,
author = { Kanchan Pandey, Sapna Singh, Rachana Mishra },
title = { Range Limited Quad-Histogram Equalization Method for Image Contrast Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 15 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number15/15956-5316/ },
doi = { 10.5120/15956-5316 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:48.970428+05:30
%A Kanchan Pandey
%A Sapna Singh
%A Rachana Mishra
%T Range Limited Quad-Histogram Equalization Method for Image Contrast Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 15
%P 14-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Histogram equalization is a very popular technique for image contrast enhancement. Histogram equalization defines the clarity of picture and sometime improves brightness. But sometime it is not very good for consumer electronics, because of preserving the original brightness. Range limited bi-histogram equalization RLBHE applied for consumer electronics. This paper proposes novel extension of RLBHE referred to as range limited quad-histogram equalization RLQHE. This method is applied as first it divides the input histogram into two sub-images by a threshold. Then again two sub-images divide in to two sub-images by using another threshold that minimizes intra- class variance. All these sub-images separate the object from background. Then, Range means it calculate the minimum absolute mean brightness error between actual image and equalized image. The result shows that proposed method is better than previous method for image contrast enhancement. Proposed method preserves original brightness as actual image. It is very well suited for consumer electronics product.

References
  1. Umbaugh, S. E. , 1998. Computer Vision and Image Processing, Prentice Hall, New Jersey, 1998, P. 209.
  2. Kim, Y. T. , 1997. Contrast enhancement using brightness preserving bi-histogram equalization, IEEE Trans. Consum. Electron. 43 (1997), 1-8.
  3. Wan, Y. , Chen, Q. and Zhang, B. M. , 1999. Image enhancement based on equal area dualistic sub-image histogram equalization method, IEEE Trans. Consum. Eletron. 45(1999), 68-75.
  4. Chen, S. D. , and Ramil, A. R. , 2003. Minimum mean brightness error bi-histogram equalization in contrast enhancement, IEEE Trans. Consum. Electron. 49 (2003), 1310-1319.
  5. Zuo, C. , Chen, Q. , and Sui, X. , 2013. Range Limited Bi-Histogram Equalization, Optik 124(2013), 425-431.
  6. Chen, S. D. , and Ramli, A. R. , 2003. Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation, IEEE Trans. Consum. Electron. 49(2003), 1301-1309.
  7. Sim, K. S. , Tso, C. P. , and Tan, Y. Y. , 2007. Recursive sub-image histogram equalization applied to gray scale images, Pattern Recognit. Lett, 28 (2007), 1209-1221.
  8. Otsu, N. , 1979. A threshold selection method from gray level histograms, IEEE Trans. Syst. Man Cybern. 9(1979), 62-66.
  9. Pandey, K. , and Singh, S. , 2014. A Comparative study of Histogram Equalization Techniques for Image Contrast Enhancement, IJETT, Vol. 8, Num. 6, (Feb 2014).
Index Terms

Computer Science
Information Sciences

Keywords

Image Contrast Enhancement Quad Histogram Equalization Brightness Preserving Enhancement Range Limit.

Powered by PhDFocusTM