A Review on Hyperspectral Image Denoising

This paper represents various methods of minimizing noise from Hyperspectral images. This work addresses the issue of minimizing mixed noise from Hyperspectral images in particular a mixture. The denoising has been analysed as an optimization problem solution to which has been given by split-Bregman approach. Experimental results explain that the proposed algorithm can decrease significant amount of noise from real noisy hyperspectral images compared to existing state-of-the-art techniques.