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http://dx.doi.org/10.7840/KICS.2012.37.6A.464

Super-Resolution Algorithm by Motion Estimation with Sub-Pixel Accuracy using 6-Tap FIR Filter  

Kwon, Soon-Chan (광운대학교 전자공학과 디지털 미디어 연구실)
Yoo, Ji-Sang (광운대학교 전자공학과 디지털 미디어 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37, no.6A, 2012 , pp. 464-472 More about this Journal
Abstract
In this paper, we propose a new super-resolution algorithm that uses successive frames by applying the block matching motion estimation algorithm. Usually, single frame super-resolution algorithms are based on probability or discrete wavelet transform (DWT) approach to extract high-frequency components of the input image, but only limited information is available for these algorithms. To solve this problem, various multiple-frame based super-resolution algorithms are proposed. The accuracy of registration between frames is a very important factor for the good performance of an algorithm. We therefore propose an algorithm using 6-Tap FIR filter to increase the accuracy of the image registration with sub-pixel unit. Proposed algorithm shows better performance than other conventional interpolation based algorithms such as nearest neighborhood, bi-linear and bi-cubic methods and results in about the same image quality as DWT based super-resolution algorithm.
Keywords
Super-Resolution; 6-Tap FIR Filter; Sub-pixel;
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