RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network

Modern digital cameras and smartphones mostly rely on image signal processing (ISP) pipelines to produce realistic colored RGB images. However, compared to DSLR cameras, low-quality images are usually obtained in many portable mobile devices with compact camera sensors due to their physical limitati...

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Veröffentlicht in:	arXiv.org 2021-11
Hauptverfasser:	Rao, Muhammad Umer, Micheloni, Christian
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Color imagery Convexity Digital cameras Digital imaging Electronic devices Image quality Image resolution Iterative methods Neural networks Optimization Portable equipment Regularization Sensors Signal processing
Online-Zugang:	Volltext
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