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"Joint demosaicking and denoising benefits from a two-stage training strategy."

Yu Guo et al. (2023)

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DOI: 10.1016/J.CAM.2023.115330

access: closed

type: Journal Article

metadata version: 2024-02-05

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  - journals/jcam/GuoJMZF23
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  - https://dblp.org/rec/journals/jcam/GuoJMZF23
Yu Guo, Qiyu Jin, Jean-Michel Morel, Tieyong Zeng, Gabriele Facciolo:
Joint demosaicking and denoising benefits from a two-stage training strategy. J. Comput. Appl. Math. 434: 115330 (2023)

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