A novel iterative image restoration algorithm using nonstationary image priors

Esteban Vera; Miguel Vega; Rafael Molina; Aggelos K Katsaggelos

doi:10.1109/ICIP.2011.6116456

A novel iterative image restoration algorithm using nonstationary image priors

Esteban Vera^*, Miguel Vega, Rafael Molina, Aggelos K Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

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

5 Scopus citations

Abstract

In this paper, we propose a novel algorithm for image restoration based on combining nonstationary edge-preserving priors. We develop a Bayesian modeling followed by an evidence analysis inference approach for deriving the foundations of the proposed iterative restoration algorithm. Simulation results over a variety of blurred and noisy standard test images indicate that the presented method outperforms current state-of-the-art image restoration algorithms. We finally present experimental results by digitally refocusing images captured with controlled defocus, successfully confirming the ability of the proposed restoration algorithm in recovering extra features and details, while still preserving edges.

Original language	English (US)
Title of host publication	ICIP 2011
Subtitle of host publication	2011 18th IEEE International Conference on Image Processing
Pages	3457-3460
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2011.6116456
State	Published - Dec 1 2011
Event	2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium Duration: Sep 11 2011 → Sep 14 2011

Other

Other	2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/Territory	Belgium
City	Brussels
Period	9/11/11 → 9/14/11

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.2011.6116456

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title = "A novel iterative image restoration algorithm using nonstationary image priors",

abstract = "In this paper, we propose a novel algorithm for image restoration based on combining nonstationary edge-preserving priors. We develop a Bayesian modeling followed by an evidence analysis inference approach for deriving the foundations of the proposed iterative restoration algorithm. Simulation results over a variety of blurred and noisy standard test images indicate that the presented method outperforms current state-of-the-art image restoration algorithms. We finally present experimental results by digitally refocusing images captured with controlled defocus, successfully confirming the ability of the proposed restoration algorithm in recovering extra features and details, while still preserving edges.",

author = "Esteban Vera and Miguel Vega and Rafael Molina and Katsaggelos, {Aggelos K}",

year = "2011",

month = dec,

day = "1",

doi = "10.1109/ICIP.2011.6116456",

language = "English (US)",

isbn = "9781457713033",

pages = "3457--3460",

booktitle = "ICIP 2011",

note = "2011 18th IEEE International Conference on Image Processing, ICIP 2011 ; Conference date: 11-09-2011 Through 14-09-2011",

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Vera, E, Vega, M, Molina, R & Katsaggelos, AK 2011, A novel iterative image restoration algorithm using nonstationary image priors. in ICIP 2011: 2011 18th IEEE International Conference on Image Processing., 6116456, pp. 3457-3460, 2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, 9/11/11. https://doi.org/10.1109/ICIP.2011.6116456

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AU - Vera, Esteban

AU - Vega, Miguel

AU - Molina, Rafael

AU - Katsaggelos, Aggelos K

PY - 2011/12/1

Y1 - 2011/12/1

N2 - In this paper, we propose a novel algorithm for image restoration based on combining nonstationary edge-preserving priors. We develop a Bayesian modeling followed by an evidence analysis inference approach for deriving the foundations of the proposed iterative restoration algorithm. Simulation results over a variety of blurred and noisy standard test images indicate that the presented method outperforms current state-of-the-art image restoration algorithms. We finally present experimental results by digitally refocusing images captured with controlled defocus, successfully confirming the ability of the proposed restoration algorithm in recovering extra features and details, while still preserving edges.

AB - In this paper, we propose a novel algorithm for image restoration based on combining nonstationary edge-preserving priors. We develop a Bayesian modeling followed by an evidence analysis inference approach for deriving the foundations of the proposed iterative restoration algorithm. Simulation results over a variety of blurred and noisy standard test images indicate that the presented method outperforms current state-of-the-art image restoration algorithms. We finally present experimental results by digitally refocusing images captured with controlled defocus, successfully confirming the ability of the proposed restoration algorithm in recovering extra features and details, while still preserving edges.

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BT - ICIP 2011

T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011

Y2 - 11 September 2011 through 14 September 2011

ER -

A novel iterative image restoration algorithm using nonstationary image priors

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