Sidorchuk Dmitry, Nurmukhametov Almir, Maximov Paul, Bozhkova Valentina, Sarycheva Anastasia, Pavlova Maria, Kazakova Anna, Gracheva Maria, Nikolaev Dmitry
Institute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, Russia.
Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 119333 Moscow, Russia.
J Imaging. 2025 Jul 7;11(7):225. doi: 10.3390/jimaging11070225.
Color vision deficiency (CVD) affects around 300 million people globally due to issues with cone cells, highlighting the need for effective daltonization methods. These methods modify color palettes to enhance detail visibility for individuals with CVD. However, they can also distort the natural appearance of images. This study presents a novel daltonization method that focuses on preserving image naturalness for both normal trichromats and individuals with CVD. Our approach modifies only the achromatic component while enhancing detail visibility for individuals with CVD. To compare our approach with the previously known anisotropic daltonization method, we utilize objective and subjective evaluations that separately assess visibility enhancement and naturalness preservation. Our findings indicate that the proposed method outperforms the anisotropic method in naturalness by over 10 times according to objective criteria. Subjective evaluations revealed that more than 90% of CVD individuals and 95% of trichromats preferred our method for its natural appearance. Although objective contrast metrics suggest inferior visibility enhancement, subjective evaluation indicates comparable performance: contrast improvement was observed in 65% of protan cases for our method versus 70% for the anisotropic method, with contrast deterioration in 18% versus 7%, respectively. Overall, our method offers superior naturalness while maintaining comparable detail discrimination.
全球约有3亿人因视锥细胞问题而患有色觉缺陷(CVD),这凸显了有效进行图像色适应处理方法的必要性。这些方法会修改调色板,以提高CVD患者对细节的可见度。然而,它们也可能会扭曲图像的自然外观。本研究提出了一种新颖的图像色适应处理方法,该方法专注于为正常三色视者和CVD患者保留图像的自然度。我们的方法仅修改消色差分量,同时提高CVD患者对细节的可见度。为了将我们的方法与先前已知的各向异性图像色适应处理方法进行比较,我们采用了客观和主观评估,分别评估可见度增强和自然度保留情况。我们的研究结果表明,根据客观标准,所提出的方法在自然度方面比各向异性方法高出10倍以上。主观评估显示,超过90%的CVD患者和95%的三色视者因其自然外观而更喜欢我们的方法。尽管客观对比度指标表明可见度增强效果较差,但主观评估表明性能相当:在65%的红色盲病例中观察到我们的方法对比度有所改善,而各向异性方法为70%,分别有18%和7%的病例对比度下降。总体而言,我们的方法在保持相当的细节辨别能力的同时,提供了卓越的自然度。