Joint Motion Deblurring and Superresolution from Single Blurry Image
Joint Authors
He, Linyang
Li, Gang
Liu, Jinghong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Currently superresolution from a motion blurred image still remains a challenging task.
The conventional approach, which preprocesses the blurry low resolution (LR) image with a deblurring algorithm and employs a superresolution algorithm, has the following limitation.
The high frequency texture of the image is unavoidably lost in the deblurring process and this loss restricts the performance of the subsequent superresolution process.
This paper presents a novel technique that performs motion deblurring and superresolution jointly from one single blurry image.
The basic idea is to regularize the ill-posed reconstruction problem using an edge-preserving gradient prior and a sparse kernel prior.
This method derives from an inverse problem approach under an efficient optimization scheme that alternates between blur kernel estimation and superresolving until convergence.
Furthermore, this paper proposes a simple and efficient refinement formulation to remove artifacts and render better deblurred high resolution (HR) images.
The improvements brought by the proposed combined framework are demonstrated by the processing results of both simulated and real-life images.
Quantitative and qualitative results on challenging examples show that the proposed method outperforms the existing state-of-the-art methods and effectively eliminates motion blur and artifacts in the superresolved image.
American Psychological Association (APA)
He, Linyang& Li, Gang& Liu, Jinghong. 2015. Joint Motion Deblurring and Superresolution from Single Blurry Image. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075211
Modern Language Association (MLA)
He, Linyang…[et al.]. Joint Motion Deblurring and Superresolution from Single Blurry Image. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1075211
American Medical Association (AMA)
He, Linyang& Li, Gang& Liu, Jinghong. Joint Motion Deblurring and Superresolution from Single Blurry Image. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075211
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075211