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Super-Resolution Algorithm Using Motion Estimation for Moving Vehicles  

Kim, Seung-Hoon (School of Electrical Engineering, Univ of Ulsan)
Cho, Sang-Bock (School of Electrical Engineering, Univ of Ulsan)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.4, 2012 , pp. 23-31 More about this Journal
Abstract
This paper proposes a motion estimation-based super resolution algorithm to restore input low-resolution images of large movement into a super-resolution image. It is difficult to find the sub-pixel motion estimation in images of large movement compared to typical experimental images. Also, it has disadvantage which have high computational complexity to find reference images and candidate images using general motion estimation method. In order to solve these problems for the traditional two-dimensional motion estimation using the proposed registration threshold that satisfy the conditions based on the reference image is determined. Candidate image with minimum weight among the best candidates for super resolution images, the restoration process to proceed with to find a new image registration algorithm is proposed. According to experimental results, the average PSNR of the proposed algorithm is 31.89dB and this is better than PSNR of traditional super-resolution algorithm and it also shows improvement of computational complexity.
Keywords
Super Resolution; Motion Estimation; Image Registration; Candidate Image; PSNR;
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