An iterative super-resolution reconstruction of image sequences using affine block-based registration

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An iterative super-resolution reconstruction of image sequences using affine block-based registration

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International Conference On Communications And Mobile Computing archive
Proceedings of the 2006 international conference on Wireless communications and mobile computing table of contents

Vancouver, British Columbia, Canada

SESSION: M1-C: multimedia over wireless symposium table of contents

Pages: 51 - 56

Year of Publication: 2006

ISBN:1-59593-306-9

Authors

V. Patanavijit	Assumption University, Bangkok, Thailand
S. Jitapunkul	Chulalongkorn University, Bangkok, Thailand

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ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

Super-resolution reconstruction produces one or a set of high-resolution (HR) images from a sequence of low-resolution (LR) images. Due to translational registration, super-resolution reconstruction can apply only on the sequences that have simple translation motion. This paper proposed a novel super-resolution reconstruction that that can apply on real sequences or complex motion sequences. The proposed super-resolution reconstruction uses a high accuracy registration algorithm, the fast affine block-based registration [16], in the maximum likelihood framework. Moreover, the regularization is used to compensate the missing measurement information. The experimental results show that the proposed reconstruction can apply on real sequence such as Foreman and Suzie.

REFERENCES

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