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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.
Keywords
Hyperspectral Images, Denoising, Split-Bregman Approach, Optimization.
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