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 degrade their quality and usefulness.This paper intr