HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models

arXiv:2402.15865v1 Announce Type: new
Abstract: Hyperspectral image (HSI) restoration aims at recovering clean images from degraded observations and plays a vital role in downstream tasks. Existing model-based methods have limitations in accurately modeling the complex image characteristics with handcraft priors, and deep learning-based methods suffer from poor generalization ability. To alleviate these issues, this paper proposes an unsupervised HSI restoration framework with pre-trained diffusion model (HIR-Diff), which restores the clean HSIs from the product of two low-rank components, i.e., the …

arxiv cs.cv diff diffusion diffusion models eess.iv image image restoration type unsupervised via