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Local Contrast Enhancement using Local Standard Deviation

by S. Somorjeet Singh, Th. Tangkeshwar Singh, H. Mamata Devi, Tejmani Sinam
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 15
Year of Publication: 2012
Authors: S. Somorjeet Singh, Th. Tangkeshwar Singh, H. Mamata Devi, Tejmani Sinam
10.5120/7267-0384

S. Somorjeet Singh, Th. Tangkeshwar Singh, H. Mamata Devi, Tejmani Sinam . Local Contrast Enhancement using Local Standard Deviation. International Journal of Computer Applications. 47, 15 ( June 2012), 39-44. DOI=10.5120/7267-0384

@article{ 10.5120/7267-0384,
author = { S. Somorjeet Singh, Th. Tangkeshwar Singh, H. Mamata Devi, Tejmani Sinam },
title = { Local Contrast Enhancement using Local Standard Deviation },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 15 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number15/7267-0384/ },
doi = { 10.5120/7267-0384 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:57.701717+05:30
%A S. Somorjeet Singh
%A Th. Tangkeshwar Singh
%A H. Mamata Devi
%A Tejmani Sinam
%T Local Contrast Enhancement using Local Standard Deviation
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 15
%P 39-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For a detailed visibility of an image, since only the global enhancement is not sufficient, local contrast enhancement plays a great role. One of the successful locally adaptive image contrast enhancement methods is by using Local Standard Deviation (LSD). The contrast enhancement using LSD is successfully used in many applications like in medical images, real time images, surveillance applications and many others. These types of applications employ a contrast factor which is divided by LSD. For such type of methods, limitation occurs when the LSD becomes zero. This limitation due to divide by zero can be overcome by adjusting the LSD to a modified value.

References
  1. S. Somorjeet Singh, Dr. 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) Volume 40– No. 1, February 2012
  2. R. C. Gonzalez and R. E. Woods, Digital Image Processing. 3rd edition, Prentice Hall, 2008.
  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, Vol. 5308, pp. 1106-1116 (2004).
  4. M. A. Yousuf, M. R. H. Rakib, "An Effective Image Contrast Enhancement Method Using Global Histogram Equalization," Journal of Scientific Research, Vol. 3, No. 1, 2011.
  5. I. Altas, J. Louis, and J. Belward, "A variational approach to the radiometric enhancement of digital imagery," IEEE Trans. Image Processing, vol. 4, pp. 845–849, June 1995.
  6. T. -L. Ji, M. K. Sundareshan, and H. Roehrig, "Adaptive image contrast enhancement based on human visual properties," IEEE trans. Med. Imag. , vol. 13, pp. 573–586, Aug. 1994.
  7. L. Dorst, "A local contrast enhancement filter," In Proc. 6th Int. Conference on Pattern recognition, pages 604-606, Munich, Germany, 1982.
  8. D. Mukherjee and B. N. Chatterji, "Adaptive neighborhood extended contrast enhancement and its modification," Graphical Models and Image Processing, 57:254-265, 1995.
  9. R. B. Paranjape, W. M. Morrow, and R. M. Rangayyan, "Adaptive-neighborhood histogram equalization for image enhancement," Graphical Models and Image Processing, 54:259-267, 1992.
  10. 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, 39:355-368, 1987.
  11. J. S. Lee, "Digital image enhancement and noise filtering by use of local statistics," IEEE Trans. on Pattern Analysis and Machine Intelligence, PAMI-2:165-, 1980.
  12. J. S. Lee, "Refined filtering of image noise using local statistics," Computer Graphics and Image Processing, 15:380-, 1981.
  13. P. M. Narendra and R. C. Fitch, "Real-time adaptive contrast enhancement," IEEE Trans. PAMI, Vol. 3, no. 6, pp. 655-661, 1981.
  14. D. -C. Chang and W. -R. Wu, "Image contrast enhancement based on a histogram transformation of local standard deviation," IEEE Trans. MI, vol. 17, no. 4, pp. 518-531, Aug. 1998.
  15. K. Schutte, "Multi-Scale Adaptive Gain Control of IR Images," Infrared Technology and Applications XXIII, Proceedings of SPIE Vol. 3061, pp. 906-914 (1997).
  16. Sascha D. Cvetkovic, Johan Schirris and Peter H. N. de With, "Locally-Adaptive Image Contrast Enhancement Without Noise And Ringing Artifacts," IEEE, ICIP 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Local Contrast Enhancement Local Standard Deviation Divide-by-zero Removal