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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 2    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 2,February 2012
Brightness Preserving Image Enhancementusing Modifieddualistic Sub Image Histogram Equalization
Full Text(PDF, )  PP.624-629  
Mrs.Ashwini Sachin Zadbuke
s- Image contrast enhancement, histogram equalization, AMBE, ENTROPY, PSNR, brightness preserving enhancement.
Histogram equalization (HE) is one of the common methods used for improving contrast in digital images. However, this technique is not very well suited to be implemented in consumer electronics, such as televisionbecause the method tends to introduce unnecessary visual deterioration such as the saturation effect. One of the solutions to overcome this weakness is by preserving the mean brightness of the input image inside the output image. This paper provides the modifieddualistic sub image HE method which preserves the brightness of the image. 
[1] A. Rafael C. Gonzalez, and Richard E. Woods, “Digital Image Processing,” 2nd edition, Prentice Hall, 2002.

[2] Joung-Youn Kim, Lee-Sup Kim and Seung-Ho Hwang, “An advanced contrast enhancement using partially overlapped sub-block histogram equalization,” IEEE Trans Circuits Syst. Video Technol., vol. 11, no. 4, pp. 475-484, Apr. 2001.

[3] Yeong-Taeg Kim, “Contrast enhancement using brightness preserving bihistogram equalization,” IEEE Trans. Consumer Electronics, vol. 43, no. 1, pp. 1-8, Feb. 1997.

[4] Yu Wan, Qian Chen and Bao-Min 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.

[5] Soong-Der Chen and Abd. Rahman Ramli, “Minimum mean brightness error bi-histogram equalization in contrast enhancement,” IEEE Trans. Consumer Electron., vol. 49, no. 4, pp. 1310-1319, Nov. 2003.

[6] Soong-Der Chen and Abd. Rahman Ramli, “Contrast enhancement using recursive mean-separate histogram equalization for scalable

[7] Brightness preservation,” IEEE Trans. Consumer Electron., vol. 49, no.4, pp. 1301-1309, Nov. 2003.

[8] 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, 2007.

[9] D. Menotti, L. Najman, J. Facon and A. A. Araujo, “Multi-histogram equalization methods for contrast enhancement and brightness.

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

[11]Nyamlkhagva Sengee and Heung Kook Choi, “Brightness Preserving Weight Clustering Histogram Equalization,” IEEE Trans. Consumer Electron., vol. 54, no. 3, pp. 1329-1337, Aug. 2008.

[12]Hojat Yeganeh, Ali Ziaei and Amirhossein Rezaie, “A novel approach for contrast enhancement based on histogram equalization,” In Proceedings of the International Conference on Computer and Communication Engineering, pp. 256-260, 2008.

[13]S.Aghagolzadeh and O. K. Ersoy, “Transform image enhancement,” Opt. Eng., vol. 31, pp. 614626, Mar. 1992.

[14] J. Tang, E. Peli and S. Acton, “Image enhancement using a contrast measure in the compressed domain,” IEEE Signal Process. Let., vol. 10, no. 10, pp. 289-292, Oct. 2003.

[15] S. Lee, “An efficient content-based image enhancement in the compressed domain using retinex theory,” IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 2, pp. 199-213, Feb. 2007.

[16]Jayanta Mukherjee and Sanjit K. Mitra, “Enhancement of color images by scaling the DCT Coefficients,” IEEE Trans. Image Process., vol. 17, no. 10, pp. 1783-1794, Oct. 2008.

[17] X. Zong, A. F. Laine, E. A. Geiser and D. C. Wilson, “Denoising and contrast enhancement via wavelet shrinkage and nonlinear adaptive gain,” Proc. of SPIE, vol. 2762, pp. 566-574, Orlando,Apr. 1996.

[18] K. V. Velde, “Multi-scale color image enhancement,” in Proc. Int. Conf Image Processing, vol. 3, pp. 584-587, 1999.

[19] Y. Wan and D. Shi, “Joint exact histogram specification and image enhancement through the wavelet transform,” IEEE Trans. Image Process., vol. 16, no. 9, pp. 2245-2250, Sep.2007.

[20] J. Starck, F. Murtagh, E. J. Cands and D. L. Donoho, “Gray and color image contrast enhancement by the curvelet transform,” IEEE Trans. Image process., vol. 12, no. 6, pp. 706-717, Jun. 2003.

[21] Qingwu Li, Xue Ni and Guogao Liu, “Ceramic image processing using the second generation curvelet transform and watershed algorithm,” In Proceedings of the International Conference on Robotics and Biomimetics, pp. 2037-2042, 2007.

[22] Ehsan Nezhadarya and Mohammad B. Shamsollahi, “Image contrast enhancement by contourlet transform,” In Proceedings of the 48th International Symposium, pp. 81- 84, Jun. 2006.

[23] D. L. Donoho and M. R. Duncan, “Digital curvelet transform: Strategy, implementation and experiments,” Proc. SPIE, vol. 4056, pp. 12-29, 2000.

[24] E. J. Cand`es, L. Demanet, D. L. Donoho and L. Ying, “Fast discrete curvelet transforms,” SIAM Multiscale Modeling Simul., 2006

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