CUED Publications database

Atmospheric turbulence mitigation using complex wavelet-based fusion

Anantrasirichai, N and Achim, A and Kingsbury, NG and Bull, DR (2013) Atmospheric turbulence mitigation using complex wavelet-based fusion. IEEE Transactions on Image Processing, 22. pp. 2398-2408. ISSN 1057-7149

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Abstract

Restoring a scene distorted by atmospheric turbulence is a challenging problem in video surveillance. The effect, caused by random, spatially varying, perturbations, makes a model-based solution difficult and in most cases, impractical. In this paper, we propose a novel method for mitigating the effects of atmospheric distortion on observed images, particularly airborne turbulence which can severely degrade a region of interest (ROI). In order to extract accurate detail about objects behind the distorting layer, a simple and efficient frame selection method is proposed to select informative ROIs only from good-quality frames. The ROIs in each frame are then registered to further reduce offsets and distortions. We solve the space-varying distortion problem using region-level fusion based on the dual tree complex wavelet transform. Finally, contrast enhancement is applied. We further propose a learning-based metric specifically for image quality assessment in the presence of atmospheric distortion. This is capable of estimating quality in both full-and no-reference scenarios. The proposed method is shown to significantly outperform existing methods, providing enhanced situational awareness in a range of surveillance scenarios. © 1992-2012 IEEE.

Item Type: Article
Uncontrolled Keywords: Dual tree complex wavelet transform (DT-CWT) image restoration quality metrics region-level fusion
Subjects: UNSPECIFIED
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:41
Last Modified: 08 Dec 2014 02:19
DOI: 10.1109/TIP.2013.2249078