We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
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

Global-Local Contrast Enhancement

by S. Somorjeet Singh, Th. Tangkeshwar Singh, N. Gourakishwar Singh, H. Mamata Devi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 10
Year of Publication: 2012
Authors: S. Somorjeet Singh, Th. Tangkeshwar Singh, N. Gourakishwar Singh, H. Mamata Devi
10.5120/8600-2365

S. Somorjeet Singh, Th. Tangkeshwar Singh, N. Gourakishwar Singh, H. Mamata Devi . Global-Local Contrast Enhancement. International Journal of Computer Applications. 54, 10 ( September 2012), 7-11. DOI=10.5120/8600-2365

@article{ 10.5120/8600-2365,
author = { S. Somorjeet Singh, Th. Tangkeshwar Singh, N. Gourakishwar Singh, H. Mamata Devi },
title = { Global-Local Contrast Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 10 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number10/8600-2365/ },
doi = { 10.5120/8600-2365 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:55:37.915419+05:30
%A S. Somorjeet Singh
%A Th. Tangkeshwar Singh
%A N. Gourakishwar Singh
%A H. Mamata Devi
%T Global-Local Contrast Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 10
%P 7-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Using global contrast enhancement, low contrast image can be improved in its quality globally. The enhanced output image, with such type of enhancement, may not have the noise and ringing artifacts. However, it may have over-exposure on some parts of the image and under-exposure on some other parts of the image when too high contrast gain occurs. Besides these, the enhanced output image may lack of local details. On the other hand, using local contrast enhancement, the local details of an image can be better defined. However, local contrast enhancement may produce the output image with noise and ringing artifact when too much contrast gain occurs. Besides these, it may be poor in global contrast. For some images, applying the local contrast enhancement along with global contrast enhancement is much better than that of global contrast enhancement only or local contrast enhancement only.

References
  1. S. Somorjeet Singh, H. Mamata Devi, Th. Tangkeshwar Singh, O. Imocha Singh, "A New Easy Method of Enhancement of Low Contrast Image Using Spatial Domain," International Journal of Computer Applications (0975 – 8887), February 2012, Volume 40– No. 1.
  2. R. C. Gonzalez and R. E. Woods, 2008, Digital Image Processing, 3rd edition, Prentice Hall.
  3. Sascha D. Cvetkovic and Peter H. N. de With, "Image enhancement circuit using non-linear processing curve and constrained histogram range equalization," Proc. of SPIE-IS&T Electronic Imaging, 2004, Vol. 5308, pp. 1106-1116.
  4. M. A. Yousuf, M. R. H. Rakib, "An Effective Image Contrast Enhancement Method Using Global Histogram Equalization," Journal of Scientific Research, 2011, Vol. 3, No. 1.
  5. I. Altas, J. Louis, and J. Belward, "A variational approach to the radiometric enhancement of digital imagery," IEEE Trans. Image Processing, June 1995, vol. 4, pp. 845–849.
  6. S. Somorjeet Singh, "Semi-Automatic Global Contrast Enhancement," International Journal of Computer Applications (0975 – 8887), August 2012, Volume 51– No. 8.
  7. L. Dorst, "A local contrast enhancement filter," In Proc. 6th Int. Conference on Pattern recognition, 1982, pages 604-606, Munich, Germany.
  8. Hyunsup Yoon, Youngjoon Han, and Hernsoo Hahn, "Image Contrast Enhancement based Sub-histogram Equalization Technique without Over-equalization Noise," International Journal of Electrical and Electronics Engineering, 2009, 3:6, 323-329.
  9. D. Mukherjee and B. N. Chatterji, "Adaptive neighborhood extended contrast enhancement and its modification," Graphical Models and Image Processing, 1995, 57:254-265.
  10. R. B. Paranjape, W. M. Morrow, and R. M. Rangayyan, "Adaptive-neighborhood histogram equalization for image enhancement," Graphical Models and Image Processing, 1992, 54:259-267.
  11. S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Geer, B. H. Romeny, J. B. Zimmerman, and K. Zuiderveld, "Adaptive histogram modification and its variation," Computer Vision, Graphics and Image Processing, 1987, 39:355-368.
  12. J. S. Lee, "Digital image enhancement and noise filtering by use of local statistics," IEEE Trans. on Pattern Analysis and Machine Intelligence, 1980, PAMI-2:165-.
  13. J. S. Lee, "Refined filtering of image noise using local statistics," Computer Graphics and Image Processing, 1981, 15:380-.
  14. P. M. Narendra and R. C. Fitch, "Real-time adaptive contrast enhancement," IEEE Trans. PAMI, Vol. 3, no. 6, pp. 655-661, 1981.
  15. D. -C. Chang and W. -R. Wu, "Image contrast enhancement based on a histogram transformation of local standard deviation," IEEE Trans. MI, Aug. 1998, vol. 17, no. 4, pp. 518-531.
  16. K. Schutte, "Multi-Scale Adaptive Gain Control of IR Images," Infrared Technology and Applications XXIII, Proceedings of SPIE, 1997, Vol. 3061, pp. 906-914.
  17. Sascha D. Cvetkovic, Johan Schirris and Peter H. N. de With, "Locally-Adaptive Image Contrast Enhancement Without Noise And Ringing Artifacts," IEEE, ICIP 2007.
  18. S. Somorjeet Singh, Th. Tangkeshwar Singh, H. Mamata Devi, Tejmani Sinam, "Local Contrast Enhancement Using Local Standard Deviation," International Journal of Computer Applications (0975-888), June 2012, Volume 47– No. 15.
  19. T. -L. Ji, M. K. Sundareshan, and H. Roehrig, "Adaptive image contrast enhancement based on human visual properties," IEEE trans. Med. Imag. , Aug. 1994, vol. 13, pp. 573–586.
Index Terms

Computer Science
Information Sciences

Keywords

Global- Local Contrast

Powered by PhDFocusTM