Research Article
Image Super-Resolution Based on Alternative Registration, Blur Identification and Reconstruction
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@INPROCEEDINGS{10.1007/978-3-642-32573-1_8, author={Osama Omer}, title={Image Super-Resolution Based on Alternative Registration, Blur Identification and Reconstruction}, proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers}, proceedings_a={SPIT \& IPC}, year={2012}, month={10}, keywords={Super-resolution image registration blurs identification}, doi={10.1007/978-3-642-32573-1_8} }- Osama Omer
Year: 2012
Image Super-Resolution Based on Alternative Registration, Blur Identification and Reconstruction
SPIT & IPC
Springer
DOI: 10.1007/978-3-642-32573-1_8
Abstract
A solution to the problem of obtaining a high-resolution image from several low-resolution images is provided. In general, this problem can be broken up into three sub-problems: registration, blur identification, and reconstruction. Conventional super-resolution approaches solve these sub-problems independently. In this paper, we propose a method to simultaneously solve all the sub-problems. The proposed method minimizes a nonlinear least squares error function. The cost function is alternatively minimized with respect to registration parameters, blurring operators, and high resolution image. The objective and subjective results are shown to demonstrate the effectiveness of the proposed method.
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