Spatial-spectral Texture Preserved Graph Total Variation Regularizer for Hyperspectral Image Denoising
Graph total variation (GTV) has been widely adopted for hyperspectral image (HSI) denoising. However, the fixed graph weights make it difficult to preserve or enhance important details. Moreover, such methods often focus on preserving spatial textures while neglecting the extraction of spectral texture information, failing to achieve a desirable balance between noise removal and spatial-spectral texture preservation. To address these shortcomings, this letter proposes a novel regularization, nam
