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

Miao Liu; Hanqiang Cao; Xutao Li; Sheng Yi

doi:10.1117/12.664364

12 May 2006 Super resolution reconstruction based on motion estimation error and edge adaptive constraints

Miao Liu, Hanqiang Cao, Xutao Li, Sheng Yi

Proceedings Volume 6246, Visual Information Processing XV; 62460B (2006) https://doi.org/10.1117/12.664364
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

Miao Liu, Hanqiang Cao, Xutao Li, and Sheng Yi "Super resolution reconstruction based on motion estimation error and edge adaptive constraints", Proc. SPIE 6246, Visual Information Processing XV, 62460B (12 May 2006); https://doi.org/10.1117/12.664364

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