Nonlinear Extrapolation Based Image Restoration Using Region Classification
Jong‐Woo Han, Mn-Cheol Hwang, Tae-Shick Wang, Sung-Jea Ko · Journal of the Institute of Electronics Engineers of Korea · 2009
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.