Thermal Noise Removal of Magnetic Resonance Images: A Deep Learning Approach Based on an Attentive Residue Multi-Dilated Network with Adaptive Filtering and Discrete Cosine Transform.
Bowen JiangTao YueXuemei HuPublished in: IJCNN (2023)
Keyphrases
- magnetic resonance images
- noise removal
- adaptive filtering
- deep learning
- discrete cosine transform
- denoising
- image compression
- medical images
- anisotropic diffusion
- dct coefficients
- mr images
- image enhancement
- magnetic resonance imaging
- medical imaging
- transform domain
- noise reduction
- edge detection
- unsupervised learning
- high resolution
- filter bank
- image denoising
- filtering method
- diffusion tensor
- blocking artifacts
- gaussian noise
- image processing
- multiscale
- white matter
- digital images
- natural images
- motion estimation
- image data
- speech signal
- higher order
- spatial domain
- computer vision
- three dimensional