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Reconstruction of High Resolution Images by ARPS Motion Estimation and POCS Restoration  

Song, Hee-Keun (서울시립대학교 전자전기컴퓨터공학부 컴퓨터비전연구실)
Kim, Yong-Cheol (서울시립대학교 전자전기컴퓨터공학부 컴퓨터비전연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.3C, 2009 , pp. 288-296 More about this Journal
Abstract
In POCS (projection onto convex sets)-based reconstruction of HR (high resolution) image, the quality of reconstructed image is gradually improved through iterative motion estimation and image restoration. The amount of computation, however, increases because of the repeated inter-frame motion estimation. In this paper, an HR reconstruction algorithm is proposed where modified ARPS (adaptive rood pattern search) and POCS are simultaneously performed. In the modified ARPS, the motion estimates obtained from phase correlation or from the previous steps in POCS restoration are utilized as the initial reference in the motion estimation. Moreover, estimated motion is regularized with reference to the neighboring blocks' motion to enhance the reliability. Computer simulation results show that, when compared to conventional methods which are composed of full search block matching and POCS restoration, the proposed method is about 30 times faster and yet produces HR images of almost equal or better quality.
Keywords
HR reconstruction; POCS; ARPS; motion estimation; Phase correlation;
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