Reconstruction of HR by POCS and Regularized Block Matching 


Vol. 30,  No. 8, pp. 824-831, Aug.  2005


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  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.

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  Cite this article

[IEEE Style]

J. Choi, T. Oh, Y. C. Kim, "Reconstruction of HR by POCS and Regularized Block Matching," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 8, pp. 824-831, 2005. DOI: .

[ACM Style]

Jong-Beom Choi, Tae-Seok Oh, and Yong Cheo Kim. 2005. Reconstruction of HR by POCS and Regularized Block Matching. The Journal of Korean Institute of Communications and Information Sciences, 30, 8, (2005), 824-831. DOI: .

[KICS Style]

Jong-Beom Choi, Tae-Seok Oh, Yong Cheo Kim, "Reconstruction of HR by POCS and Regularized Block Matching," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 8, pp. 824-831, 8. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880