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A High-Resolution Image Reconstruction Method Utilizing Automatic Input Image Selection from Low-Resolution Video  

Kim Sung-Deuk (Dept. of IT & Electronics Education, Andong National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.43, no.2, 2006 , pp. 12-18 More about this Journal
Abstract
This paper presents a method to extract a good high-resolution image from a low-resolution video in an automatic manner. Since a high-resolution image reconstruction method utilizing several low-resolution input images works better than a conventional interpolation method utilizing single low-resolution input image only if the input images are well registered onto a common high-resolution grid, low-resolution input images should be carefully chosen so that the registration errors can be carefully considered. In this paper, the statistics obtained from the motion-compensated low-resolution images are utilized to evaluate the feasibility of the input image candidates. Maximum motion-compensation error is estimated from the high-resolution image observation model. U the motion-compensation error of the input image candidate is greater than the estimated maximum motion-compensation error, the input image candidate is discarded. The number of good input image candidates and the statistics of the motion-compensation errors are used to choose final input images. The final input images chosen from the input image selection block are given to the following high-resolution image reconstruction block. It is expected that the proposed method is utilized to extract a good high-resolution image efficiently from a low-resolution video without any user intervention.
Keywords
High -resolution; super-resolution; reconstruction; interpolation;
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