In digital cameras, the wavelength dependency of images captured through lenses and filters affects the spatial resolution characteristics of the images, which adversely impacts image quality. Previously, lens design and image processing techniques have been considered to address the aforementioned problem. Although aberrations could be improved, it was difficult to completely analyze the wavelength dependency of resolution characteristics. This study aims to reduce the wavelength dependency of the spatial resolution of digital cameras. Edge-based modulation transfer function (MTF) measurements using a 2D spectroradiometer were used to obtain wavelength-specific MTFs and quantitively reveal the wavelength dependency of the spatial resolution characteristics. Moreover, we experimentally confirmed that adjusting the MTFs of the CIEXYZ images obtained by combining spectral images to be closer reduces the difference in spatial resolution among color images while minimizing the color change before and after the adjustment.
Variability in the encoding of unique hues within the color vision system results in significant diversity in hue appearances among individuals. This paper introduces a novel algorithm that equalizes hue appearance for individual observers by incorporating their unique hue perception and replacing the default NCS unique hue in a modern color appearance model with individualized selections. By customizing the color representation to match the observer's perception, the algorithm enhances the consistency and personalized rendering of hue appearance. The findings of this study contribute to advancing color perception research and have practical implications in various domains such as, graphic design, and visual color reproduction.