Zoom-based super-resolution reconstruction approach using prior total variation

Michael Kwok-po Ng; Huanfeng Shen; Subhasis Chaudhuri; Andy C. Yau

doi:10.1117/1.2818797

1 December 2007 Zoom-based super-resolution reconstruction approach using prior total variation

Michael Kwok-po Ng, Huanfeng Shen, Subhasis Chaudhuri, Andy C. Yau

Author Affiliations +

Optical Engineering, Vol. 46, Issue 12, 127003 (December 2007). https://doi.org/10.1117/1.2818797

Abstract

We present a robust and efficient approach for zoom-based super-resolution (SR) reconstruction problems. We employ the total variation (TV) of the desired image priori in the maximum a-posteriori estimation. An efficient algorithm based on iterative methods and preconditioning techniques is employed to solve the resulting variational problem. To suit the proposed algorithm for realistic imaging situations, a registration method is presented to simultaneously solve the zooming factors, image center shifts, and photometric parameters. Experimental results show that the proposed TV-based algorithm performs quite well in terms of both quantitative measurements and visual evaluation. We also demonstrate that the proposed algorithm is robust for SR image inpainting, where some pixels are missed in the SR reconstruction model.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Michael Kwok-po Ng, Huanfeng Shen, Subhasis Chaudhuri, and Andy C. Yau "Zoom-based super-resolution reconstruction approach using prior total variation," Optical Engineering 46(12), 127003 (1 December 2007). https://doi.org/10.1117/1.2818797

Published: 1 December 2007

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