Search for a computationally efficient image super-resolution algorithm

Authors:
Vivek Bannore;Leszek Swierkowski
Affiliations:
School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia;Defence Science and Technology Organisation, Edinburgh, Adelaide, Australia
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

Super-resolution estimates a high-resolution image from a set of observed low-resolution images of the same scene. We formulate the estimation process as a regularized minimization problem and compare its solution, in terms of effectiveness and accuracy, with a fast super-resolution method developed recently in [1]. Results of numerical simulations are presented.