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Image Enhancement for Epigraphic Image Using Adaptive Process Based on Local Statistics  

Hwang, Jae-Ho (Dept. of Electronic Engineering, Hanbat National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.2, 2007 , pp. 37-45 More about this Journal
Abstract
We propose an adaptive image enhancement method for epigraphic images, which is based on local statistics. Local statistics of the image are utilized for adaptive realization of the enhancement, that controls the contribution of the smoothing or sharpening paths. Image contrast enhancement occurs in details and noises are suppressed in smooth areas. For modeling the epigraphic image, pre~process is achieved by HSDI(Hanzi squeezed digital image). We have calculated the local statistics from this HSDI model. Application of this approach to HSDI has shown that processing not only smooths the background areas but also improves the subtle variations of edges, so that the word regions can be enhanced. Experimental results show that the proposed algorithm has better performance than the conventional image enhancement ones.
Keywords
Image Enhancement; Adaptive Image Processing; Local Statistics; Epigraphy; HSDI;
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