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Super-Resolution Image Reconstruction Based on the Minimal Surface Constraint on the Manifold

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1 Author(s)
Jian-Hua Yuan ; Dept. of Electron. Sci. & Eng., Nanjing Univ. of Technol., Nanjing, China

The super-resolution image reconstruction is an ill-posed problem, which need regularizing during the reconstruction. The super-resolution image was modeled a two-dimensional manifold embedded in a three-dimensional space. The regularization constraint in the reconstruction was that the image was the minimal surface on the two-dimensional manifold. The algorithm broadened the image restoration algorithms based on the partial differential equation, and the TV restoration algorithm was a particular case of the minimal surface constraint reconstruction algorithm. The experiments show the algorithm could reconstruct the super-resolution image efficiently.

Published in:

Pattern Recognition, 2009. CCPR 2009. Chinese Conference on

Date of Conference:

4-6 Nov. 2009

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