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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weiguo Gong Wenzhi Wang Weihong Li Shu Tang |
| Copyright Year | 2014 |
| Description | Author affiliation: Key Lab. of Optoelectron. Technol. & Syst. of Educ. Minist., Chongqing Univ., Chongqing, China (Weiguo Gong; Wenzhi Wang; Weihong Li; Shu Tang) |
| Abstract | In this paper, we propose a video deblurring method for recovering effectively the blurred video caused by camera shake. First, we estimate the blur kernel for each blurred video frame by introducing a preprocessing strategy which employs the anisotropic diffusion and shock filter to get strong edges from each video frame. Second, for video deblurring, we propose a temporal cubic rhombic mask technique, which can not only suppress ringing artifacts, but also can enhance temporal consistency of the deblurred video. The proposed technique uses the relationship of the current frame and the frames before the current frame, and the frame behind the current frame for obtaining a high-quality deblurred video. Experiments demonstrate that proposed method outperforms state-of-the-art deblurring methods for the blurred video. |
| Starting Page | 861 |
| Ending Page | 864 |
| File Size | 727490 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479952090 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2014.158 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Estimation Image restoration Deconvolution Image edge detection Anisotropic magnetoresistance Cameras temporal consistency video deblurring anisotropic diffusion shock filter temporal cubic rhombic mask |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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