Mitigating the effects of atmospheric distortion using DT-CWT fusion

N Anantrasirichai; Alin M Achim; David Bull; Nick Kingsbury

Mitigating the effects of atmospheric distortion using DT-CWT fusion

N Anantrasirichai, Alin M Achim, David Bull, Nick Kingsbury

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

12 Citations (Scopus)

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Abstract

This paper describes a new method for mitigating the effects of atmospheric distortion on observed images, particularly airborne turbulence which degrades a region of interest (ROI). In order to provide accurate detail from objects behind the distorting layer, a simple and efficient frame selection method is proposed to pick informative ROIs from only good-quality frames. We solve the space-variant distortion problem using region-based fusion based on the Dual Tree Complex Wavelet Transform (DT-CWT). We also propose an object alignment method for pre-processing the ROI since this can exhibit significant offsets and distortions between frames. Simple haze removal is used as the final step. The proposed method performs very well with atmospherically distorted videos and outperforms other existing methods.

Original language	English
Title of host publication	IEEE International Conference on Image Processing
Pages	3033
Number of pages	3036
ISBN (Electronic)	978-1-4673-2532-5
Publication status	Published - 2012

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title = "Mitigating the effects of atmospheric distortion using DT-CWT fusion",

abstract = "This paper describes a new method for mitigating the effects of atmospheric distortion on observed images, particularly airborne turbulence which degrades a region of interest (ROI). In order to provide accurate detail from objects behind the distorting layer, a simple and efficient frame selection method is proposed to pick informative ROIs from only good-quality frames. We solve the space-variant distortion problem using region-based fusion based on the Dual Tree Complex Wavelet Transform (DT-CWT). We also propose an object alignment method for pre-processing the ROI since this can exhibit significant offsets and distortions between frames. Simple haze removal is used as the final step. The proposed method performs very well with atmospherically distorted videos and outperforms other existing methods.",

author = "N Anantrasirichai and Achim, {Alin M} and David Bull and Nick Kingsbury",

year = "2012",

language = "English",

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booktitle = "IEEE International Conference on Image Processing",

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TY - GEN

T1 - Mitigating the effects of atmospheric distortion using DT-CWT fusion

AU - Anantrasirichai, N

AU - Achim, Alin M

AU - Bull, David

AU - Kingsbury, Nick

PY - 2012

Y1 - 2012

N2 - This paper describes a new method for mitigating the effects of atmospheric distortion on observed images, particularly airborne turbulence which degrades a region of interest (ROI). In order to provide accurate detail from objects behind the distorting layer, a simple and efficient frame selection method is proposed to pick informative ROIs from only good-quality frames. We solve the space-variant distortion problem using region-based fusion based on the Dual Tree Complex Wavelet Transform (DT-CWT). We also propose an object alignment method for pre-processing the ROI since this can exhibit significant offsets and distortions between frames. Simple haze removal is used as the final step. The proposed method performs very well with atmospherically distorted videos and outperforms other existing methods.

AB - This paper describes a new method for mitigating the effects of atmospheric distortion on observed images, particularly airborne turbulence which degrades a region of interest (ROI). In order to provide accurate detail from objects behind the distorting layer, a simple and efficient frame selection method is proposed to pick informative ROIs from only good-quality frames. We solve the space-variant distortion problem using region-based fusion based on the Dual Tree Complex Wavelet Transform (DT-CWT). We also propose an object alignment method for pre-processing the ROI since this can exhibit significant offsets and distortions between frames. Simple haze removal is used as the final step. The proposed method performs very well with atmospherically distorted videos and outperforms other existing methods.

M3 - Conference Contribution (Conference Proceeding)

SN - 978-1-4673-2534-9

SP - 3033

BT - IEEE International Conference on Image Processing

ER -

Mitigating the effects of atmospheric distortion using DT-CWT fusion

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