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Novel framework for single/multi-frame super-resolution using sequential Monte Carlo method

Authors:

Toshie Misu,

Yasutaka Matsuo,

Shinichi Sakaida,

Yoshiaki ShishikuiAuthors Info & Claims

MM '10: Proceedings of the 18th ACM international conference on Multimedia

Pages 771 - 774

https://doi.org/10.1145/1873951.1874074

Published: 25 October 2010 Publication History

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Abstract

We propose a novel super-resolution (SR) framework based on a sequential Monte Carlo (SMC) method, which is capable of robust optimization, for solving the inverse problem of degradation processes of imagery and sampling. The SR image is estimated from a set of multiple hypotheses, which are sequentially reorganized by evaluating their consistency with the input image. The concepts of norm regularization and motion registration in single/multi-frame SR are mapped into stochastic processes of an SMC's proposal distribution. The experiments showed that our framework is capable of seamlessly restoring both static and moving regions of degraded pictures.

References

[1]

Park, S. C., Park, M. K. and Kang, M. G. 2003. Super-resolution image reconstruction: a technical overview, IEEE Signal Processing Magazine. 20 (May 2003), 21--36.

Google Scholar

[2]

Huang, T. S. and Tsai, R. Y. 1984. Multi-frame image restoration and registration, Adv. Comput. Vis. Image Process. 1 (1984), 317--339.

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[3]

Ng, M. K., Shen, H., Lam, E. Y., Zhang, L. 2007. A total variation regularization based super-resolution reconstruction algorithm for digital video. EURASIP Journal on Advances in Signal Processing 74585 (2007), 1--16.

Google Scholar

[4]

Farsiu, S., Robinson, D., Elad, M., and Milanfar, P. 2004. Fast and robust multiframe super resolution. IEEE Trans. Image Proc. 13, 10 (Oct. 2004), 1327--1344.

Digital Library

Google Scholar

[5]

Doucet, A., de Freitas, N., and Gordon, N. 2001. Sequential Monte Carlo methods in practice. Springer (2001).

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Cited By

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Misu TMatsuo YIwamura SSakaida SShishikui Y(2012)Reconstructive video coding systemThe 1st IEEE Global Conference on Consumer Electronics 201210.1109/GCCE.2012.6379908(553-555)Online publication date: Oct-2012
https://doi.org/10.1109/GCCE.2012.6379908
Komanome HMisu TMochizuki T(2011)2-3. Image processing technology on Broadcast and Media IndustryThe Journal of The Institute of Image Information and Television Engineers10.3169/itej.65.150465:11(1504-1512)Online publication date: 2011
https://doi.org/10.3169/itej.65.1504
Misu TMatsuo YSakaida SShishikui YNakasu E(2010)Novel video coding paradigm with reduction/restoration processes28th Picture Coding Symposium10.1109/PCS.2010.5702537(466-469)Online publication date: Dec-2010
https://doi.org/10.1109/PCS.2010.5702537

Index Terms

Novel framework for single/multi-frame super-resolution using sequential Monte Carlo method
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
2. Mathematics of computing
  1. Probability and statistics
    1. Stochastic processes

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Information & Contributors

Information

Published In

MM '10: Proceedings of the 18th ACM international conference on Multimedia

October 2010

1836 pages

ISBN:9781605589336

DOI:10.1145/1873951

General Chairs:
Alberto del Bimbo
University of Florence, Italy
,
Shih-Fu Chang
Columbia University, USA
,
Program Chair:
Arnold Smeulders
University of Amsterdam, NL

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2010

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MM '10

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SIGMM

MM '10: ACM Multimedia Conference

October 25 - 29, 2010

Firenze, Italy

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Misu TMatsuo YIwamura SSakaida SShishikui Y(2012)Reconstructive video coding systemThe 1st IEEE Global Conference on Consumer Electronics 201210.1109/GCCE.2012.6379908(553-555)Online publication date: Oct-2012
https://doi.org/10.1109/GCCE.2012.6379908
Komanome HMisu TMochizuki T(2011)2-3. Image processing technology on Broadcast and Media IndustryThe Journal of The Institute of Image Information and Television Engineers10.3169/itej.65.150465:11(1504-1512)Online publication date: 2011
https://doi.org/10.3169/itej.65.1504
Misu TMatsuo YSakaida SShishikui YNakasu E(2010)Novel video coding paradigm with reduction/restoration processes28th Picture Coding Symposium10.1109/PCS.2010.5702537(466-469)Online publication date: Dec-2010
https://doi.org/10.1109/PCS.2010.5702537

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