Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography.
Allard A. HendriksenDaniël Maria PeltKees Joost BatenburgPublished in: IEEE Trans. Computational Imaging (2020)
Keyphrases
- denoising
- gaussian noise
- additive gaussian noise
- denoising algorithm
- noise removal
- denoising methods
- image denoising
- deep learning
- wavelet shrinkage
- noisy images
- spatially adaptive
- noise model
- natural images
- image processing
- total variation
- wavelet domain
- noise level
- image reconstruction
- wavelet denoising
- wiener filter
- noisy data
- image deconvolution
- weighted averaging
- wiener filtering
- additive noise
- noise reduction
- signal to noise ratio
- tomographic reconstruction
- noise suppression
- wavelet based denoising
- filtering method
- wavelet packet
- frequency domain
- soft thresholding
- neural network
- sparse coding
- least squares
- high resolution
- removing noise
- unsupervised feature learning