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Reconstruction of HR by POCS and Regularized Block Matching  

Choi Jong-Beom (서울시립대학교 전자전기컴퓨터공학부 컴퓨터비전연구실)
Oh Tae-Seok (서울시립대학교 전자전기컴퓨터공학부 컴퓨터비전연구실)
Kim Yong Cheo (서울시립대학교 전자전기컴퓨터공학부 컴퓨터비전연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.30, no.8C, 2005 , pp. 824-831 More about this Journal
Abstract
In the reconstruction of high resolution (HR) images from low resolution (LR) images frames, the error in the estimated motion degrades the reliability of the reconstructed HR image. Some methods were recently proposed where motion estimation and HR reconstruction is performed simultaneously. The estimated motion is still prone to error when it is based on a simple block matching. In this paper, we propose a reconstruction of a HR image by applying POCS and a regularized block matching simultaneously. In this method, a motion vector is obtained from a regularized block matching algorithm since the motion of a pixel in an image is highly correlated with the motion in neighboring regions. Experimental results show that the improved accuracy of the estimated motion vectors results in higher PSNR of the reconstructed HR images.
Keywords
Regularization; POCS; super high resolution; image;
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