The use of wearable and portable devices with different types of screens is widespread and has millions of users with a long time of use for each user. These displays are a source of light with short wavelengths, commonly blue light. The topic is widely studied and can be problematic for health, especially when the user has an existing pathology. The effect of blue light on a healthy eye is not conclusive but it leads to the control of the circadian rhythms, which is beneficial, and most devices have a filtering method. Other approaches report good results but affect the whole image and colors. We propose a filter that only processes the more energetic pixels obtaining a high blue light absorption with a more realistic result, maintaining most colors. The filter is evaluated for its ability to maintain color labeling by the observer, contrast, and quality, besides its absorption. The result is a new representation that does not lose information but emits substantially less blue light, considered a good improvement in this type of filter. 88% of blue light emission can be filtered with a color accuracy of 99% of the pixels, while maintaining quality and contrast. It can be applied in mobile and wearable displays for filtering but also for aiding low vision people, people with color vision deficiencies, or even as a mechanism to save battery.

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Blue Light Digital Filter with Accurate Color Representation, Contrast, and Quality

  • Juan Bayón,
  • Joaquín Recas,
  • Jonathan J. Jiménez,
  • María Guijarro

摘要

The use of wearable and portable devices with different types of screens is widespread and has millions of users with a long time of use for each user. These displays are a source of light with short wavelengths, commonly blue light. The topic is widely studied and can be problematic for health, especially when the user has an existing pathology. The effect of blue light on a healthy eye is not conclusive but it leads to the control of the circadian rhythms, which is beneficial, and most devices have a filtering method. Other approaches report good results but affect the whole image and colors. We propose a filter that only processes the more energetic pixels obtaining a high blue light absorption with a more realistic result, maintaining most colors. The filter is evaluated for its ability to maintain color labeling by the observer, contrast, and quality, besides its absorption. The result is a new representation that does not lose information but emits substantially less blue light, considered a good improvement in this type of filter. 88% of blue light emission can be filtered with a color accuracy of 99% of the pixels, while maintaining quality and contrast. It can be applied in mobile and wearable displays for filtering but also for aiding low vision people, people with color vision deficiencies, or even as a mechanism to save battery.