Parameter Controlled Virtual Histogram Modification in Colour Image Enhancement

Authors

  • Nagajothi Sethu Institute of Technology, Virudhunager, Tamil Nadu, India
  • Anna Lakshmi Sethu Institute of Technology, Virudhunager, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2012.1.1.1664

Keywords:

Image processing, image enhancement

Abstract

A new hybrid image enhancement approach based on the parameter-controlled virtual histogram distribution method can enhance simultaneously the overall contrast and the sharpness of an image. The approach also increases the visibility of specified portions or aspects of the image whilst better maintaining image color. It driven by both global and local processes on luminance and chrominance components of the image. The approach was compared with other well-known image enhancement techniques. The experimental results have shown the superiority of the proposed approach

References

N.S.P.Kong and H.Ibrahim,” Color image enhancement using brightness preserving dynamic histogram equalization,”IEEE Trans.on Consumer Electronics,vol.54,No.4,pp 1962-1968 Nov.2008.

G. Park, H. Cho, and M. Choi, “A Contrast Enhancement Method using Dynamic Range Separate Histogram Equalization,” IEEE Trans. on Consumer Electronics, Vol. 54, No. 4, pp 1981-1987 Nov. 2008.

T. Kim and J. Paik, “Adaptive Contrast Enhancement Using Gain- Controllable Clipped Histogram Equalization,” IEEE Trans. On Consumer Electronics, Vol. 54, No. 4, pp 1803-1810 Nov. 2008.

John P. Oakley and Hong Bu, “Correction of Simple Contrast Loss in Colour Images,” IEEE Transactions on Image Processing, Vol. 16, No. 2, pp. 511-522, February 2007.

Z. Rahman, D. J. Jobson, and G. A. Woodell, “Retinex processing for automatic image enhancement,” J. Electron. Imag., vol. 13, no. 1, pp. 100–110, Jan. 2004.

Cristian Munteanu and Agostinho Rosa, “Gray-Scale Image Enhancement as an Automatic Process Driven by Evolution,” IEEE Transactions on Systems, Man, and Cybernetics—part b: Cybernetics, vol. 34, no. 2, April 2004.

Soong-Der Chen, Abd. Rahman Ramli, “Minimum Mean Brightness Error Bi-Histogram Equalization in Contrast Enhancement,” IEEE Trans. on Consumer Electronics, Vol. 49, No. 4, pp. 1310-1319, November 2003.

C. Soong-Der and A. R. 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, 2003.

J.A. Stark, “Adaptive Image Contrast Enhancement Using Generalization of Histogram Equalization” IEEE Trans Image Processing, vol 9, no. 5, 889-896, May 2000.

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Published

05-05-2012

How to Cite

Nagajothi, & Lakshmi, A. . (2012). Parameter Controlled Virtual Histogram Modification in Colour Image Enhancement. Asian Journal of Computer Science and Technology, 1(1), 98–101. https://doi.org/10.51983/ajcst-2012.1.1.1664