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RDEPS: A Combined Reaction-Diffusion Equation and Photometric Similarity Filter for Optical Image Restoration

Zhao, Xueqing and Mavridis, Pavlos and Schreck, Tobias and Kuijper, Arjan (2016):
RDEPS: A Combined Reaction-Diffusion Equation and Photometric Similarity Filter for Optical Image Restoration.
In: Advances in Visual Computing, Proceedings, Part II, Springer International Publishing, In: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, In: Lecture Notes in Computer Science (LNCS); 10073, DOI: 10.1007/978-3-319-50832-0₅,
[Conference or Workshop Item]

Abstract

Restoration of optical images degraded by atmospheric turbulence and various types of noise is still an open problem. In this paper, we propose an optical image restoration method based on a Reaction-Diffusion Equation and Photometric Similarity (RDEPS). We exploit photometric similarity and geometric closeness of the optical image by combining a photometric similarity function and a appropriately defined reaction-diffusion equation. Our resulting RDEPS filter is used to restore images degraded by atmospheric turbulence and noise, including Gaussian noise and impulse noise. Extensive experimental results show that our method outperforms other recently developed methods in terms of PSNR and SSIM. Moreover, the computational efficiency analysis shows that our RDEPS provides efficient restoration of optical images.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Zhao, Xueqing and Mavridis, Pavlos and Schreck, Tobias and Kuijper, Arjan
Title: RDEPS: A Combined Reaction-Diffusion Equation and Photometric Similarity Filter for Optical Image Restoration
Language: English
Abstract:

Restoration of optical images degraded by atmospheric turbulence and various types of noise is still an open problem. In this paper, we propose an optical image restoration method based on a Reaction-Diffusion Equation and Photometric Similarity (RDEPS). We exploit photometric similarity and geometric closeness of the optical image by combining a photometric similarity function and a appropriately defined reaction-diffusion equation. Our resulting RDEPS filter is used to restore images degraded by atmospheric turbulence and noise, including Gaussian noise and impulse noise. Extensive experimental results show that our method outperforms other recently developed methods in terms of PSNR and SSIM. Moreover, the computational efficiency analysis shows that our RDEPS provides efficient restoration of optical images.

Title of Book: Advances in Visual Computing, Proceedings, Part II
Series Name: Lecture Notes in Computer Science (LNCS); 10073
Publisher: Springer International Publishing
Uncontrolled Keywords: Guiding Theme: Digitized Work, Research Area: Computer vision (CV), Image restoration, Image processing, Filtering, Partial differential equations
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: 12th International Symposium, ISVC 2016
Event Location: Las Vegas, NV, USA
Event Dates: December 12-14, 2016
Date Deposited: 07 May 2019 08:43
DOI: 10.1007/978-3-319-50832-0₅
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