@article{MC5E29880,
title = "Color Filter Array Mapping Using Generative Adversarial Networks",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.4.503",
author = "Seong-Yeol Kim, Chi-Hun Sung, Seung-Wook Kim",
keywords = "Color filter array, bayer pattern, raw image mapping",
abstract = "The lack of paired data is a critical problem in raw image mapping since it is hard to capture the color filter arrays (CFAs) of the same scene from different cameras. This paper introduces a novel RGBW/RGB CFA data generation method using generative adversarial networks (GANs). The experimental results confirm that the performance of the RGBW-to-RGB CFA mapping can be improved by using the proposed data generation method based on GANs."
}