Selective Bayesian estimation for efficient super-resolution

Zoran A. Ivanovski; Lina Karam; Glen P. Abousleman

Selective Bayesian estimation for efficient super-resolution

Zoran A. Ivanovski, Lina Karam, Glen P. Abousleman

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

In this paper, a new approach to efficient and robust super-resolution is presented. Our method is based on selectively applying a Bayesian MAP estimator to image regions with high spatial activity. The degree of spatial activity is measured using the gradient of the estimated high-resolution image at each iteration. In addition, selective filtering is applied to enhance the visual quality of the estimated high-resolution image. The results obtained via simulation and with real video sequences demonstrate up to a 50% reduction in computational complexity, with improved visual quality, and higher SNR gains for magnification factors of four or more.

Original language	English (US)
Title of host publication	Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology
Pages	433-436
Number of pages	4
State	Published - Dec 1 2004
Event	Fourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004 - Rome, Italy Duration: Dec 18 2004 → Dec 21 2004

Publication series

Name	Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004

Other

Other	Fourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004
Country/Territory	Italy
City	Rome
Period	12/18/04 → 12/21/04

ASJC Scopus subject areas

General Engineering

Cite this

Selective Bayesian estimation for efficient super-resolution. / Ivanovski, Zoran A.; Karam, Lina; Abousleman, Glen P.
Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology. 2004. p. 433-436 (Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ivanovski, ZA, Karam, L & Abousleman, GP 2004, Selective Bayesian estimation for efficient super-resolution. in Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology. Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004, pp. 433-436, Fourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004, Rome, Italy, 12/18/04.

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N2 - In this paper, a new approach to efficient and robust super-resolution is presented. Our method is based on selectively applying a Bayesian MAP estimator to image regions with high spatial activity. The degree of spatial activity is measured using the gradient of the estimated high-resolution image at each iteration. In addition, selective filtering is applied to enhance the visual quality of the estimated high-resolution image. The results obtained via simulation and with real video sequences demonstrate up to a 50% reduction in computational complexity, with improved visual quality, and higher SNR gains for magnification factors of four or more.

AB - In this paper, a new approach to efficient and robust super-resolution is presented. Our method is based on selectively applying a Bayesian MAP estimator to image regions with high spatial activity. The degree of spatial activity is measured using the gradient of the estimated high-resolution image at each iteration. In addition, selective filtering is applied to enhance the visual quality of the estimated high-resolution image. The results obtained via simulation and with real video sequences demonstrate up to a 50% reduction in computational complexity, with improved visual quality, and higher SNR gains for magnification factors of four or more.

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M3 - Conference contribution

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T3 - Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004

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BT - Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology

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ER -

Selective Bayesian estimation for efficient super-resolution

Abstract

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