Color Filter Array Mapping Using Generative Adversarial Networks 


Vol. 49,  No. 4, pp. 503-506, Apr.  2024
10.7840/kics.2024.49.4.503


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  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.

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[IEEE Style]

S. Kim, C. Sung, S. Kim, "Color Filter Array Mapping Using Generative Adversarial Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 4, pp. 503-506, 2024. DOI: 10.7840/kics.2024.49.4.503.

[ACM Style]

Seong-Yeol Kim, Chi-Hun Sung, and Seung-Wook Kim. 2024. Color Filter Array Mapping Using Generative Adversarial Networks. The Journal of Korean Institute of Communications and Information Sciences, 49, 4, (2024), 503-506. DOI: 10.7840/kics.2024.49.4.503.

[KICS Style]

Seong-Yeol Kim, Chi-Hun Sung, Seung-Wook Kim, "Color Filter Array Mapping Using Generative Adversarial Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 4, pp. 503-506, 4. 2024. (https://doi.org/10.7840/kics.2024.49.4.503)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880