Joint Burst Denoising and Demosaicking via Regularization and an Efficient Alignment
In this work, we show that an image reconstruction from a burst of individually demosaicked RAW captures propagates demosaicking artifacts throughout the image processing pipeline. Hence, we propose a joint regularization scheme for burst denoising and demosaicking. We model the burst alignment func...
| Auteurs principaux: | , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Shahrood University of Technology
2020-11-01
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| Collection: | Journal of Artificial Intelligence and Data Mining |
| Sujets: | |
| Accès en ligne: | http://jad.shahroodut.ac.ir/article_1861_f7ae90d1f322d4e5deb185a14c39fd83.pdf |