Noisy video super-resolution

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Noisy video super-resolution

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International Multimedia Conference archive
Proceeding of the 16th ACM international conference on Multimedia table of contents

Vancouver, British Columbia, Canada

SESSION: Content track short papers session 2: content analysis and applications table of contents

Pages 713-716

Year of Publication: 2008

ISBN:978-1-60558-303-7

Authors

Feng Liu	University of Wisconsin-Madison, Madison, WI, USA
Jinjun Wang	NEC Laboratories America, Inc., Cuptertino, CA, USA
Shenghuo Zhu	NEC Laboratories America, Inc., Cuptertino, CA, USA
Michael Gleicher	University of Wisconsin-Madison, Madison, WI, USA
Yihong Gong	NEC Laboratories America, Inc., Cuptertino, CA, USA

Sponsors

ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

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ACM New York, NY, USA

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ABSTRACT

Low-quality videos often not only have limited resolution, but also suffer from noise. Directly up-sampling a video without considering noise could deteriorate its visual quality due to magnifying noise. This paper addresses this problem with a unified framework that achieves simultaneous de-noising and super-resolution. This framework formulates noisy video super-resolution as an optimization problem, aiming to maximize the visual quality of the result. We consider a good quality result to be fidelity-preserving, detail-preserving and smooth. Accordingly, we propose measures for these qualities in the scenario of de-noising and super-resolution. The experiments on a variety of noisy videos demonstrate the effectiveness of the presented algorithm.

REFERENCES

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