Hyperspectral Image Denoising Via Nonlocal Rank Residual Modeling

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
• Main Authors: Zha, Zhiyuan, Wen, Bihan, Yuan, Xin, Zhou, Jiantao, Zhu, Ce
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04.06.2023
• Subjects: alternating minimization; HSI denoising; low-rank; Minimization; Noise reduction; nonlocal rank residual; nonlocal self-similarity; Signal processing algorithms; Solid modeling; Source coding; Tensors; Termination of employment

Nonlocal low-rank (LR) tensor modeling has shown great potential in hyperspectral image (HSI) denoising, which first uses the nonlocal self-similarity (NSS) prior to search for many similar full-band patches to form three-dimensional nonlocal full-band groups (tensors), and then usually enforces an...