The Library

Contextual and variational contrast enhancement

Tools

Çelik, Turgay and Tjahjadi, Tardi. (2011) Contextual and variational contrast enhancement. IEEE Transactions on Image Processing, Vol.20 (No.12). pp. 3431-3441. ISSN 1057-7149

Preview

PDF
WRAP_Celik_121211-celiktjahjaditip2011.pdf - Accepted Version - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (2295Kb)

Official URL: http://dx.doi.org/10.1109/TIP.2011.2157513

Abstract

This paper proposes an algorithm which enhances the contrast of an input image using inter-pixel contextual information. The algorithm uses a two-dimensional (2D) histogram of the input image constructed using mutual relationship between each pixel and its neighbouring pixels. A smooth 2D target histogram is obtained by minimizing the sum of Frobenius norms of the differences from the input histogram, and the uniformly distributed histogram. The enhancement is achieved by mapping the diagonal elements of the input histogram to the diagonal elements of the target histogram. Experimental results show that the algorithm produces better or comparable enhanced images than four state-of-the-art algorithms.

Item Type:	Journal Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH):	Image processing -- Digital techniques
Journal or Publication Title:	IEEE Transactions on Image Processing
Publisher:	IEEE
ISSN:	1057-7149
Date:	December 2011
Volume:	Vol.20
Number:	No.12
Number of Pages:	11
Page Range:	pp. 3431-3441
Identification Number:	10.1109/TIP.2011.2157513
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	University of Warwick Vice Chancellor Scholarship
References:	[1] R. C. Gonzalez and R. E. Woods, Digital Image Processing (3rd Edition). Upper Saddle River, NJ, USA: Prentice-Hall, Inc., 2006. [2] R. Dale-Jones and T. Tjahjadi, “A study and modification of the local histogram equalization algorithm,” Pattern Recognit., vol. 26, no. 9, pp. 1373–1381, September 1993. [3] T. K. Kim, J. K. Paik, and B. S. Kang, “Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering,” IEEE Trans. Consumer Electron., vol. 44, no. 1, pp. 82–87, Feb 1998. [4] Y.-T. Kim, “Contrast enhancement using brightness preserving bi-histogram equalization,” IEEE Trans. Consumer Electron., vol. 43, no. 1, pp. 1–8, Feb 1997. [5] Y. Wang, Q. Chen, and B. Zhang, “Image enhancement based on equal area dualistic sub-image histogram equalization method,” IEEE Trans. Consumer Electron., vol. 45, no. 1, pp. 68–75, Feb 1999. [6] S.-D. Chen and A. Ramli, “Minimum mean brightness error bi-histogram equalization in contrast enhancement,” IEEE Trans. Consumer Electron., vol. 49, no. 4, pp. 1310–1319, Nov 2003. [7] ——, “Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation,” IEEE Trans. Consumer Electron., vol. 49, no. 4, pp. 1301–1309, Nov 2003. [8] M. Abdullah-Al-Wadud, M. Kabir, M. Dewan, and O. Chae, “A Dynamic Histogram Equalization for Image Contrast Enhancement,” IEEE Trans. Consumer Electron., vol. 53, no. 2, pp. 593–600, May 2007. [9] Q. Wang and R. K. Ward, “Fast image/video contrast enhancement based on weighted thresholded histogram equalization,” IEEE Trans. Consumer Electron., vol. 53, no. 2, pp. 757–764, May 2007. [10] C.-C. Sun, S.-J. Ruan, M.-C. Shie, and T.-W. Pai, “Dynamic contrast enhancement based on histogram specification,” IEEE Trans. Consumer Electron., vol. 51, no. 4, pp. 1300–1305, Nov 2005. [11] D. Jobson, Z. Rahman, and G. Woodell, “A multiscale retinex for bridging the gap between color images and the human observation of scenes,” IEEE Trans. Image Process., vol. 6, no. 7, pp. 965–976, Jul 1997. [12] S. Agaian, B. Silver, and K. Panetta, “Transform coefficient histogram-based image enhancement algorithms using contrast entropy,” IEEE Trans. Image Process., vol. 16, no. 3, pp. 741–758, Mar 2007. [13] K. Panetta, E. Wharton, and S. Agaian, “Human visual system-based image enhancement and logarithmic contrast measure,” IEEE Trans. Syst. Man Cybern. B, Cybern., vol. 38, no. 1, pp. 174–188, Feb 2008. [14] J. Mukherjee and S. Mitra, “Enhancement of color images by scaling the dct coefficients,” IEEE Trans. Image Process., vol. 17, no. 10, pp. 1783–1794, Oct 2008. [15] C. Wang, J. Peng, and Z. Ye, “Flattest histogram specification with accurate brightness preservation,” IET Image Process., vol. 2, no. 5, pp. 249–262, Oct 2008. [16] T. Arici, S. Dikbas, and Y. Altunbasak, “A Histogram Modification Framework and Its Application for Image Contrast Enhancement,” IEEE Trans. Image Process., vol. 18, no. 9, pp. 1921–1935, Sep 2009. [17] S. Hashemi, S. Kiani, N. Noroozi, and M. E. Moghaddam, “An image contrast enhancement method based on genetic algorithm,” Pattern Recognit. Lett., vol. 31, no. 13, pp. 1816–1824, 2010. [18] R. A. Usmani, “Inversion of a tridiagonal jacobi matrix,” Linear Algebra and its Applications, vol. 212-213, pp. 413–414, 1994. [19] Retrieved on August 2010 from the World Wide Web: http://sipi.usc.edu/database/. [20] Retrieved on August 2010 from the World Wide Web: http://r0k.us/graphics/kodak/. [21] P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik, “Contour detection and hierarchical image segmentation,” IEEE Trans. Pattern Anal. Mach. Intell., InPress. [22] C. E. Shannon, “A mathematical theory of communication,” Bell Syst. Tech. J., vol. 27, 1948. [23] D. J. Sheskin, Handbook of Parametric and Nonparametric Statistical Procedures, 4th ed. Chapman & Hall/CRC, 2007. [24] Retrieved on November 2010 from the World Wide Web: http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html. [25] J. Yang, D. Zhang, A. Frangi, and J. yu Yang, “Two-dimensional pca: a new approach to appearance-based face representation and recognition,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 1, pp. 131–137, Jan 2004.
URI:	http://wrap.warwick.ac.uk/id/eprint/40475