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Image Contrast Enhancement using Histogram Equalization Plateau Limit with Gaussian Filtering Method for Brightness Preservation

K. Baskar, K. Santhi

Abstract


Contrast enhancement is an important factor in the image processing applications. Among the various techniques of contrast enhancement Histogram equalization (HE) is the besttechnique to get the image to be more enhanced than otherenhancement methods. The proposed Brightness Preserving Dynamic Histogram Equalization Absolute Plateau Limit (BPDHEAPL) method provides better brightness preservation without allowing in excess of contrast enrichment measure. This method decomposes the input image by computing the local maxima of the smoothed image using Gaussian filter which reduces the noise. Then the clipping process has been implemented which provides the good enhancement rate than the conventional methods. The experimental results show that the PSNR and AMBE of the proposed BPDHEAPL is better than the existing methods.


Keywords


Histogram Equalization, Contrast Enhancement, Brightness Preserving, Clipped Histogram Equalization

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References


R. C. Gonzalez, and R. E., Woods, Digital Image Processing, 2nd ed., Prentice Hall, 2002.

T. Kim, and J. Paik, “Adaptive contrast enhancement using

gaincontrollable clipped histogram equalization”, IEEE Trans.

Consumer Electronics, vol. 54, no. 4, pp. 1803-1810, Nov. 2008.

Y. T. Kim, “Contrast enhancement using brightness preserving bihistogram equalization”, IEEE Trans. Consumer Electronics, vol. 43, no. 1, pp. 1-8, Feb. 1997.

Chen Hee Ooi and Nor Ashidi Mat Isa, “Adaptive Contrast

Enhancement Methods with Brightness Preserving”, IEEE Trans

Consumer Electronics, vol. 56, no. 4, pp. Nov. 2010.

S. D. Chen, and A. R. Ramli, “Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation”, IEEE Trans. Consumer Electronics, vol. 49, no. 4, pp. 1301-1309, Nov. 2003.

K. S. Sim, C. P. Tso, and Y. Y. Tan, “Recursive sub-image histogram equalization applied to gray-scale images”, Pattern Recognition Letters, vol. 28, pp. 1209-1221, July 2007.

M. Kim, and M. G. Chung, “Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement”, IEEE Trans. Consumer Electronic, vol. 54, no. 3, pp. 1389-1397, August 2008.

M. A. A. Wadud, M. H. Kabir, M. A. A. Dewan, and O. Chae, “A dynamic histogram equalization for image contrast enhancement”, IEEE Trans. Consumer Electronics, vol. 53, no. 2, pp. 593-600, May. 2007.

H. Ibrahim, and N. S. P. Kong, “Brightness preserving histogram equalization for image contrast enhancement”, IEEE Trans. Consumer Electronics, vol. 53, no. 4, pp. 1752-1758, Nov. 2007.

C. H. Ooi, N. S. P. Kong, and H. Ibrahim, “Bi-histogram with a plateau limit for digital image enhancement”, IEEE Trans. Consumer Electronics, vol. 55, no. 4, pp. 2072-2080, Nov. 2009.

C. Wang, and Z. Ye, “Brightness preserving histogram equalization with maximum entropy: A variational perspective”, IEEE Trans. ConsumerElectronics, vol. 51, no. 4, pp. 1326-1334, Nov. 2005.

D. Menotti, L. Najman, J. Facon, and A. d. A. Araujo, “Multi-histogram equalization methods for contrast enhancement and brightness preserving”, IEEE Trans. Consumer Electronics, vol. 53, no. 3, pp. 1186-1194, August. 2007

Seungjoon Yang, Jae Hwan Oh, and Yungfun Park, “Contrast enhancement using histogram equalization with bin underflow and bin overflow”, In Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, vol. 1, pp. 881-884, September 2003.

Gyu-Hee Park, Hwa-Hyun Cho, and Myung-Ryul Choi, “A contrast enhancement method using dynamic range separate histogram equalization”, IEEE Trans. Consumer Electronics, vol. 54, no. 4, pp. 1981 - 1987, November 2008.

Haidi Ibrahim, and Nicholas Sia Pik Kong, “Brightness preserving dynamic histogram equalization for image contrast enhancement”, IEEE Trans. Consumer Electronics, vol. 53, no. 4, pp. 1752 - 1758, November2007.

K. S. Sim, C. P. Tso, and Y. Y. Tan. “Recursive sub-image histogram equalization applied to gray scale images”, Pattern Recognition Letters, vol. 28, no. 10, pp. 1209-1221, July 2007


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