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Adaptive MAP High-Resolution Image Reconstruction Algorithm Using Local Statistics  

Kim, Kyung-Ho (LG전자)
Song, Won-Seon (LG전자)
Hong, Min-Cheol (숭실대학교 정보통신전자공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.31, no.12C, 2006 , pp. 1194-1200 More about this Journal
Abstract
In this paper, we propose an adaptive MAP (Maximum A Posteriori) high-resolution image reconstruction algorithm using local statistics. In order to preserve the edge information of an original high-resolution image, a visibility function defined by local statistics of the low-resolution image is incorporated into MAP estimation process, so that the local smoothness is adaptively controlled. The weighted non-quadratic convex functional is defined to obtain the optimal solution that is as close as possible to the original high-resolution image. An iterative algorithm is utilized for obtaining the solution, and the smoothing parameter is updated at each iteration step from the partially reconstructed high-resolution image is required. Experimental results demonstrate the capability of the proposed algorithm.
Keywords
High-resolution; MAP; Local statistic; Visibility function; Iterative technique;
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