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Image Enhancement for Western Epigraphy Using Local Statistics  

Hwang, Jae-Ho (Dept. of Electronic Eng., Hanbat Nat'l Univ.)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.3, 2007 , pp. 80-87 More about this Journal
Abstract
In this paper, we investigate an enhancement method for Western epigraphic images, which is based on local statistics. Image data is partitioned into two regions, background and information. Statistical and functional analyses are proceeded for image modeling. The Western epigraphic images, for the most part, have shown the Gaussian distribution. It is clarified that each region can be differentiated statistically. The local normalization process algorithm is designed on this model. The parameter is extracted and it‘s properties are verified with the size of moving window. The spatial gray-level distribution is modified and regions are differentiated by adjusting parameter and the size of moving window. Local statistics are utilized for realization of the enhancement, so that difference between regions can be enhanced and noise or speckles of region can be smoothed. Experimental results are presented to show the superiority of the proposed algorithm over the conventional methods.
Keywords
Image Enhancement; Western Epigraphic Image; Local Statistics; Region; Local Normalization;
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Times Cited By KSCI : 2  (Citation Analysis)
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