Wavelet enabled convolutional autoencoder based deep neural network for hyperspectral image denoising.
Arati PaulAhana KunduNabendu ChakiDibyendu DuttaC. S. JhaPublished in: Multim. Tools Appl. (2022)
Keyphrases
- hyperspectral
- image denoising
- denoising
- neural network
- wavelet coefficients
- wavelet domain
- deep learning
- restricted boltzmann machine
- hyperspectral images
- denoising methods
- denoising algorithm
- remote sensing
- noisy images
- multispectral
- wavelet denoising
- infrared
- total variation
- image processing
- wavelet transform
- hyperspectral data
- natural images
- hyperspectral imagery
- spatial resolution
- wavelet decomposition
- multiscale
- image data
- singularity detection
- satellite images
- high frequency
- pattern recognition
- frequency domain
- machine learning
- information content
- discrete wavelet transform
- subband
- multiresolution
- soft thresholding
- higher peak signal to noise ratio
- wavelet packet
- hard thresholding
- computer vision