Omni-total variation algorithm for the restoration of all-focused catadioptric image |
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Authors: | Yu Liu Yongle Li Jingtao Lou Wei Wang Maojun Zhang |
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Institution: | College of Information Systems and Management, National University of Defense Technology, Deya Road, Changsha 410000, China |
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Abstract: | In this paper, we present a novel omni-total variation (Omni-TV) algorithm for the restoration of defocus blur to obtain all-focused catadioptric image. Catadioptric omni-directional imaging systems usually consist of conventional cameras and curved mirrors for capturing 360° field of view. Mirror curvature in the catadioptric camera often leads to noticeable blurring artifacts in omni-directional imaging. The problem becomes more severe when high resolution sensor is introduced. In an omni-directional image, two points near each other may not be close to one another in the 3D scene. Traditional gradient computation cannot be directly applied to omni-directional image processing. Thus, an omni-gradient computing method combined with the characteristics of catadioptric imaging is proposed, in which an Omni-TV minimization is used as the constraint for deconvolution regularization. The proposed method is vital for improving catadioptric omni-directional imaging quality and promoting applications in related fields like omni-directional video and image processing. |
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Keywords: | Catadioptric optical system Omni-total variation Omnidirectional image defocus deblurring |
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