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Arakawa Kaoru
Department Undergraduate School , School of Interdisciplinary Mathematical Sciences Position Professor |
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| Language | English |
| Publication Date | 2022/04 |
| Type | Academic Journal |
| Peer Review | Peer reviewed |
| Title | A Method for Generating Color Palettes with Deep Neural Networks Considering Human Perception |
| Contribution Type | Co-authored (other than first author) |
| Journal | IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences |
| Journal Type | Japan |
| Publisher | 電子情報通信学会 |
| Volume, Issue, Page | E-105A(4),pp.639-646 |
| Total page number | 8 |
| Responsible for | 全体 |
| Authorship | Last author,Corresponding author |
| Author and coauthor | Beiying LIU, Kaoru ARAKAWA |
| Details | A method to generate color palettes from images is proposed. Here, deep neural networks (DNN) are utilized in order to consider human perception. Two aspects of human perception are considered; one is attention to image, and the other is human preference for colors. This method first extracts N regions with dominant color categories from the image considering human attention. Here, N is the number of colors in a color palette. Then, the representative color is obtained from each region considering the human preference for color. |
| DOI | 10.1587/transfun.2021SMP0011 |