Processing images for red–green dichromats compensation via naturalness and information-preservation considered recoloring
Zhenyang ZHU, Masahiro TOYOURA, Kentaro GO, Issei FUJISHIRO, Kenji KASHIWAGI, Xiaoyang MAO
Color vision deficiency (CVD) is caused by anomalies in the cone cells of the human retina. It affects approximately 200 million individuals throughout the world. Although previous studies have proposed compensation methods, contrast and naturalness preservation have not been adequately and simultaneously addressed in the state-of-the-art studies. This paper focuses on red–green dichromats’ compensation and proposes a recoloring algorithm that combines contrast enhancement and naturalness preservation in a unified optimization model. In this implementation, representative color extraction and edit propagation methods are introduced to maintain global and local information in the recolored image. The quantitative evaluation results showed that the proposed method is competitive with state-of-the-art methods. A subjective experiment was also conducted and the evaluation results revealed that the proposed method obtained the best scores in preserving both naturalness and information for individuals with severe red–green CVD.
Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Issei Fujishiro, Kenji Kashiwagi, Xiaoyang Mao, “Processing images for red–green dichromats compensation via naturalness and information-preservation considered recoloring,” The Visual Computer, Springer-Verlag, vol. 35, no. 6-8, pp. 1053-1066, 2019.
- Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Issei Fujishiro, Kenji Kashiwagi, Xiaoyang Mao, “Naturalness- and information-preserving image recoloring for red–green dichromats,” Signal Processing: Image Communication, Elsevier, vol. 76, pp. 68–80, 2019.
We thank all the volunteers who helped with the evaluation and for their valuable comments which contributed the improvements of the proposed method. In addition, we are grateful to all reviewers and the editor for their valuable comments.
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This work is supported by JSPS Grants-in-Aid for Scientific Research (Grant No. 17H00738).