Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation

Autor:	Stamatis Chatzistamatis, George E. Tsekouras, Anastasios Rigos
Rok vydání:	2020
Předmět:	Painting Computer science Color vision business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color blind Deuteranopia Image (mathematics) Computer vision Segmentation Artificial intelligence Protanopia Transfer of learning business ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference ISBN: 9783030487904 EANN
DOI:	10.1007/978-3-030-48791-1_20
Popis:	This paper introduces a semantic-segmentation guided image recoloring approach of digitized art paintings to enhance the color perception of color- blind people that suffer from protanopia and deuteranopia. Semantic segmentation using transfer learning between natural images and art paintings is applied to extract annotated color information. By using a standard technique, the annotated colors are transformed to simulate the effects of protanopia and deuteranopia. Then, a specialized objective function is minimized to recolor only the colors that are significantly different from the respective simulated ones, because these colors are perceived as confusing by the color blind. The effectiveness of the proposed method is demonstrated through its comparison with other algorithms in several experimental cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::28faac4282def8a6df507f2db68aadb4 https://doi.org/10.1007/978-3-030-48791-1_20 Zobrazit plný text záznamu