Super-resolution images from blurred observations

Andy C. Yau; Michael Kwok-po Ng

doi:10.1117/12.505015

24 December 2003 Super-resolution images from blurred observations

Andy C. Yau, Michael Kwok-po Ng

Proceedings Volume 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII; (2003) https://doi.org/10.1117/12.505015
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

In this paper, we present a technique for generating a high- resolution image from a blurred image sequence. The image sequence consists of decimated, blurred and noisy versions of the high- resolution image. The high-resolution image is modeled as a Markov random field, and a maximum a posteriori estimation technique is used for image restoration. A fast algorithm based on Fast Fourier Transforms (FFTs) is derived to solve the resulting linear system. Numerical examples are given to illustrate the effectiveness of the method.

Citation Download Citation

Andy C. Yau and Michael Kwok-po Ng "Super-resolution images from blurred observations", Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); https://doi.org/10.1117/12.505015

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