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
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Sujets: | Journal Article |
Accès en ligne |
Volltext |