アラカワ　カオル   Arakawa Kaoru   荒川　薫    所属   明治大学  総合数理学部    職種   専任教授
言語種別	英語
発行・発表の年月	2022/04
形態種別	学術雑誌
査読	査読あり
標題	A Method for Generating Color Palettes with Deep Neural Networks Considering Human Perception
執筆形態	共著(筆頭者以外)
掲載誌名	IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
掲載区分	国内
出版社・発行元	電子情報通信学会
巻・号・頁	E-105A(4),pp.639-646
総ページ数	8
担当範囲	全体
担当区分	最終著者,責任著者
著者・共著者	Beiying LIU, Kaoru ARAKAWA
概要	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