I. Introduction
Observed hyperspectral images (HSIs) are often affected by various types of noise, such as Gaussian noise, salt and pepper noise, and stripe noise caused by observation conditions and weather. This not only reduces the quality of HSIs but also makes future applications more challenging. Therefore, a significant research topic in hyperspectral processing is to recover clear HSIs from corrupted ones to improve accuracy in subsequent processing and applications.