TY  - JOUR
T1  - Color Filter Array Mapping Using Generative Adversarial Networks
AU  - Kim, Seong-Yeol 
AU  - Sung, Chi-Hun 
AU  - Kim, Seung-Wook 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.4.503
KW  - Color filter array
KW  - bayer pattern
KW  - raw image mapping
AB  - 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.