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High-resolution image restoration based on image fusion  

Shin Jeongho (Image Processing and Intelligent Systems Laboratory, Department of Image Engineering, Graduate School of Advance Imaging Science, Multimedia, and Film, Chung-Ang University)
Lee Jungsoo (Image Processing and Intelligent Systems Laboratory, Department of Image Engineering, Graduate School of Advance Imaging Science, Multimedia, and Film, Chung-Ang University)
Paik Joonki (Image Processing and Intelligent Systems Laboratory, Department of Image Engineering, Graduate School of Advance Imaging Science, Multimedia, and Film, Chung-Ang University)
Publication Information
Journal of Broadcast Engineering / v.10, no.2, 2005 , pp. 238-246 More about this Journal
Abstract
This paper proposes an iterative high-resolution image interpolation algorithm using spatially adaptive constraints and regularization functional. The proposed algorithm adapts adaptive constraints according to the direction of..edges in an image, and can restore high-resolution image by optimizing regularization functional at each iteration, which is suitable for edge directional regularization. The proposed algorithm outperforms the conventional adaptive interpolation methods as well as non-adaptive ones, which not only can restore high frequency components, but also effectively reduce undesirable effects such as noise. Finally, in order to evaluate the performance of the proposed algorithm, various experiments are performed so that the proposed algorithm can provide good results in the sense of subjective and objective views.
Keywords
Regularization; image restoration; high-resolution image interpolation;
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