An Investigation of Smooth TV-Like Regularization in the Context of the Optical Flow Problem
Total variation (TV) is widely used in many image processing problems including the regularization of optical flow estimation. In order to deal with non differentiability of the TV regularization term, smooth approximations have been considered in the literature. In this paper, we investigate the us...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-01-01
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| Series: | Journal of Imaging |
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| Online Access: | http://www.mdpi.com/2313-433X/4/2/31 |
| Summary: | Total variation (TV) is widely used in many image processing problems including the regularization of optical flow estimation. In order to deal with non differentiability of the TV regularization term, smooth approximations have been considered in the literature. In this paper, we investigate the use of three known smooth TV approximations, namely: the Charbonnier, Huber and Green functions. We establish the maximum theoretical error of these approximations and discuss their performance evaluation when applied to the optical flow problem. |
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| ISSN: | 2313-433X |