Multi-Scale Texture Loss for CT denoising with GANs.
Francesco Di FeolaLorenzo TronchinValerio GuarrasiPaolo SodaPublished in: CoRR (2024)
Keyphrases
- denoising
- multiscale
- image decomposition
- natural images
- image processing
- multiple scales
- image denoising
- texture discrimination
- texture classification
- noisy images
- wavelet domain
- total variation
- texture analysis
- denoising algorithm
- smooth regions
- gaussian noise
- texture images
- ct images
- keypoint detection
- early vision
- texture information
- fine scale
- local binary pattern
- scale space
- noise removal
- image segmentation
- spatial color
- three dimensional
- textured images
- medical images
- medical imaging
- feature extraction
- ct scans
- texture features
- keypoints
- image representation
- x ray
- scale invariant
- head images
- computerized tomography
- coarse to fine
- edge detection
- computed tomography
- wavelet packet
- wavelet decomposition
- wavelet transform
- image structure
- denoising methods
- object recognition
- gabor filters
- texture segmentation
- wavelet coefficients
- markov random field