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- W2569565597 abstract "Many works of Van Gogh’s oeuvre, such as letters, drawings and paintings, have been severely degraded due to light exposure. Digital reconstruction of faded color can help to envisage how the artist’s work may have looked at the time of creation. In this paper, we study the reconstruction of Vincent van Gogh’s drawings by means of learning schemes and on the basis of the available reproductions of these drawings. In particular, we investigate the use of three machine learning algorithms, k-nearest neighbor (kNN) estimation, linear regression (LR), and convolutional neural networks (CNN), for learning the reconstruction of these faded drawings. Experimental results show that the reconstruction performance of the kNN method is slightly better than those of the CNN. The reconstruction performance of the LR is much worse than those of the kNN and the CNN." @default.
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- W2569565597 date "2016-01-01" @default.
- W2569565597 modified "2023-09-24" @default.
- W2569565597 title "Learning Algorithms for Digital Reconstruction of Van Gogh’s Drawings" @default.
- W2569565597 cites W1564947197 @default.
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- W2569565597 doi "https://doi.org/10.1007/978-3-319-48496-9_26" @default.
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