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Proceedings Paper

Super resolution reconstruction based on motion estimation error and edge adaptive constraints
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Paper Abstract

In order to improve the quality of image with super-resolution reconstruction, a method based on motion estimation error and edge constraint was proposed. Under the condition of data consistency and amplitude restriction, the motion estimation error was analyzed, with its variance being calculated; meanwhile, in order to suppress the ringing artifacts, edge constraint was adopted and a method based clustering for judging the edge's direction was proposed. The experimental results show that the performance of the this algorithm is better than the traditional linear interpolation and method without considering motion estimation error both in vision effect and peak signal to noise ratio.

Paper Details

Date Published: 12 May 2006
PDF: 11 pages
Proc. SPIE 6246, Visual Information Processing XV, 62460B (12 May 2006); doi: 10.1117/12.664364
Show Author Affiliations
Miao Liu, Huazhong Univ. of Science and Technology (China)
Hanqiang Cao, Huazhong Univ. of Science and Technology (China)
Xutao Li, Huazhong Univ. of Science and Technology (China)
Sheng Yi, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6246:
Visual Information Processing XV
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)

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