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Nonlinear Extrapolation Based Image Restoration Using Region Classification  

Han, Jong-Woo (Dept. Electronic Engineering, Korea University)
Hwang, Mn-Cheol (Dept. Electronic Engineering, Korea University)
Wang, Tae-Shick (Dept. Electronic Engineering, Korea University)
Ko, Sung-Jea (Dept. Electronic Engineering, Korea University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.3, 2009 , pp. 105-111 More about this Journal
Abstract
In this paper, we propose a locally adaptive image restoration method based on nonlinear extrapolation in frequency domain. In general, the conventional method causes ringing artifacts on the object boundary. To solve this problem, we introduce an improved restoration method which considers textures of an image block. In the proposed method, a blurred image is divided into several blocks, and each block is classified into three groups; simple, one edge, and complex blocks according to the contained texture. Depending on the classification result, adaptive nonlinear extrapolation is applied to each block in a blurred image. Experimental results show that the proposed algorithm can achieve higher quality image in both subjective and objective views as compared with the conventional method.
Keywords
영상 복원;영상 흐림 제거;비선형 외삽법;지역 분할;
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