Desert Seismic Low-Frequency Noise Attenuation Using Low-Rank Decomposition-Based Denoising Convolutional Neural Network.
Haitao MaYuzhuo WangYue LiYuxing ZhaoPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- low frequency
- low rank
- denoising
- convolutional neural network
- frequency domain
- high frequency
- wavelet packet
- convex optimization
- missing data
- total variation
- subband
- linear combination
- matrix factorization
- wavelet transform
- low rank matrix
- image denoising
- rank minimization
- singular value decomposition
- matrix completion
- wavelet coefficients
- image processing
- wavelet domain
- gaussian noise
- noisy images
- semi supervised
- face detection
- denoising algorithm
- trace norm
- high dimensional data
- discrete wavelet transform
- spatial domain
- filter bank
- natural images
- low and high frequency
- high order
- neural network
- signal processing
- singular values
- collaborative filtering
- multiresolution
- image segmentation
- machine learning