A Novel Retinex-Based Fractional-Order Variational Model for Images with Severely Low Light
In this paper, we propose a novel Retinex-based fractional-order variational model for severely low-light images. The proposed method is more flexible in controlling the regularization extent than the existing integer-order regularization methods. Specifically, we decompose directly in the image dom...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 12. Dez. | 
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| Auteur principal: | |
| Autres auteurs: | , , | 
| Format: | Article en ligne | 
| Langue: | English | 
| Publié: | 2019 | 
| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society | 
| Sujets: | Journal Article | 
| Accès en ligne | Volltext |