論文

基本情報

氏名 畔津　忠博
氏名（カナ） アゼツ　タダヒロ
氏名（英語） AZETSU Tadahiro
所属 国際文化学部 情報社会学科
職名 教授
researchmap研究者コード
researchmap機関

タイトル 

Image enhancement for dichromatic vision by geometric approach in RGB color space

					

					

						

							

								

									
単著・共著の区分 

									
								

							

						

						
共著

					

					

						

							

								

									
誌名 

									
								

							

						

						
Color Research & Application

					

					

						

							

								

									
巻 

									
								

							

						

						
50

					

					

						

							

								

									
号 

									
								

							

						

						
2

					

					

						

							

								

									
ページ 

									
								

							

						

						
125-131

					

					

						

							

								

									
発行年月 

									
								

							

						

						
2025/03

					

					

						

							

								

									
著者 

									
								

							

						

						
T. Azetsu, A. Fujita, N. Suetake

					

					

						

							

								

									
査読の有無 

									
								

							

						

						
[査読有り]

					

					

						

							

								

									
記述言語 

									
								

							

						

						
英語

					

					

						

							

								

									
概要 

									
								

							

						

						
Paper: https://doi.org/10.1002/col.22956
Read only: https://onlinelibrary.wiley.com/share/author/Z7DTPITIYIUIIYWWZPYH?target=10.1002/col.22956
Source code: https://github.com/ta850-z/geometric_approach_RGB
Abstract: The goal of this study is to process digital images to facilitate color discrimination in dichromatic vision without changing their appearances in trichromatic vision as much as possible. Therefore, we propose a simple and effective image enhancement method using the geometric properties of the RGB color space. Concretely, a novel image representation that clarifies the relationship between dichromatic and trichromatic visions in the RGB color space, and an image enhancement method based on this representation are presented. The effectiveness of the proposed method is verified by experiments using several digital images.