Self-Supervised Deep Hyperspectral Inpainting with Plug-and-Play and Deep Image Prior Models

Hyperspectral images are typically composed of hundreds of narrow and contiguous spectral bands, each containing information regarding the material composition of the imaged scene. However, these images can be affected by various sources of noise, distortions, or data loss, which can significantly d...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Shuo Li, Mehrdad Yaghoobi
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	low rank sparsity hyperspectral image inpainting self-supervised learning fixed-point convergence
Online Access:	https://www.mdpi.com/2072-4292/17/2/288