Image Denoising for Low-Dose CT via Convolutional Dictionary Learning and Neural Network.
Rongbiao YanYi LiuYuhang LiuLei WangRongge ZhaoYunjiao BaiZhiguo GuiPublished in: IEEE Trans. Computational Imaging (2023)
Keyphrases
- low dose
- image denoising
- dictionary learning
- sparse coding
- natural images
- neural network
- x ray
- computed tomography
- denoising
- imaging modalities
- ct scans
- computer tomography
- lung nodules
- noisy images
- contrast enhancement
- sparse representation
- multiscale
- medical images
- object recognition
- ct images
- higher order
- total variation
- three dimensional
- image reconstruction
- input image
- image patches
- image processing
- denoising algorithm
- pattern recognition
- wavelet coefficients
- image classification
- linear combination
- image representation
- generative model
- medical imaging
- augmented lagrangian
- unsupervised learning
- test images
- feature space
- computational complexity
- magnetic resonance imaging
- intraoperative
- color images
- feature extraction
- high dimensional data
- dimensionality reduction