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Arakawa Kaoru
Department Undergraduate School , School of Interdisciplinary Mathematical Sciences Position Professor |
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| Language | English |
| Publication Date | 2020/12 |
| Type | International Conference |
| Peer Review | Peer reviewed |
| Title | Generation of Color Palettes with Deep Neural Networks Considering Human Perception |
| Contribution Type | Co-authored (other than first author) |
| Journal | Proc. SISA2020 |
| Journal Type | Another Country |
| Publisher | IEICE |
| Volume, Issue, Page | pp.24-29 |
| Total page number | 6 |
| Authorship | Corresponding author |
| Author and coauthor | Beiying Liu, Kaoru Arakawa |
| Details | A method for generating color palettes from images is proposed. Here, deep neural networks (DNN) are utilized in order to consider human perception to the images. Two aspects of human perception are considered; one is attention and the other is preference to colors. Computer simulations show preferable performance of this system compared with other color palette generators. |