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...

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Bibliographic Details
Main Authors: R. Azizi, A. M. Latif
Format: Article
Language:English
Published: Shahrood University of Technology 2020-11-01
Series:Journal of Artificial Intelligence and Data Mining
Subjects:
Online Access:http://jad.shahroodut.ac.ir/article_1861_f7ae90d1f322d4e5deb185a14c39fd83.pdf