A Novel Modified Algorithm for Local Statistic Enhancement

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Abstract:

Image repair using the digital image processing technology has become a new hot point in the cultural relic protection. To study of ancient fresco restoration techniques, A novel algorithm of local statistic enhancement image is proposed in this paper for the reparation of ancient fresco. The modified amplified function and the rubber band conversion algorithm are used as the jugement criterion, and the optimal paremeters are searched by the genetic algorithm (GA). Experimental results show that the quality of images is improved compared with the traditional.

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Advanced Materials Research (Volumes 926-930)

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2910-2913

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Suprijanto, Gianto , Juliastuti, E. ; Azhari ; Epsilawati, L. Image contrast enhancement for film-based dental panoramic radiography, System Engineering and Technology (ICSET), 2012 International Conference on, pp.1-5, (2012).

DOI: 10.1109/icsengt.2012.6339321

Google Scholar

[2] Soo-Chang Pei, Yi-Chong Zeng, Virtual Restoration of Ancient Chinese Paintings Using Color Contrast Enhancement and Lacuna Texture Synthesis,. IEEE Transactions On Image Processing, Vol. 13, No. 3, March (2004).

DOI: 10.1109/tip.2003.821347

Google Scholar

[3] Liu Lei, Wei Qiang, Study on reparation and enhancement of fresco based on genetic algorithm and diffusion remedy, Proceeding s - 2010 3rd International Congress on Image and Si gnal Processin g, CISP 2010, pp.859-862. (2010).

DOI: 10.1109/cisp.2010.5646869

Google Scholar

[4] Garg, Rajesh, Bhawna Mittal, Sheetal Garg, Histogram Equalization Techniques For Image Enhancement, IJECT Vol. 2, Issue 1, March, (2011).

Google Scholar

[5] Wu Yong Zhuo, Tu Zhen, Liu Lei, Local statistic enhancement of digital image based on genetic algorithm, Applied Mechanics and Materials, Vol. 427-429, Issue (2013).

DOI: 10.4028/www.scientific.net/amm.427-429.1836

Google Scholar

[6] Panetta, K. ; Agaian, S. ; Yicong Zhou ; Wharton, E.J. Parameterized Logarithmic Framework for Image Enhancement, Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on (Volume: 41 , Issue: 2 ), p.460 – 473, April (2011).

DOI: 10.1109/tsmcb.2010.2058847

Google Scholar

[7] Ghimire, D.; Joonwhoan Lee, Nonlinear transfer function-based local approach for color image enhancement , Consumer Electronics, IEEE Transactions on, Volume: 57 , Issue: 2 pp, 858 – 865, (2011).

DOI: 10.1109/tce.2011.5955233

Google Scholar