![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
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.
User
Font Size
Information
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 188
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 3