A noise-adjusted iterative randomized singular value decomposition method for hyperspectral image denoising.
Wei HeHongyan ZhangLiangpei ZhangHuanfeng ShenPublished in: IGARSS (2014)
Keyphrases
- image denoising
- decomposition method
- hyperspectral
- singular values
- denoising
- noisy images
- denoising methods
- denoising algorithm
- noise level
- remote sensing
- natural images
- gaussian noise
- multispectral
- infrared
- singular value decomposition
- total variation
- image data
- image processing
- noise removal
- wavelet domain
- wavelet coefficients
- information content
- spatial resolution
- multiscale
- noise reduction
- satellite images
- low rank
- object recognition
- signal to noise ratio
- image quality
- wavelet transform
- image restoration
- missing data
- color images
- high resolution