Low-dose computed tomography image denoising based on joint wavelet and sparse representation.
Samira GhadrdanJavad AlirezaieJean-Louis DillensegerPaul S. BabynPublished in: EMBC (2014)
Keyphrases
- sparse representation
- low dose
- image denoising
- computed tomography
- denoising
- wavelet coefficients
- ct images
- wavelet domain
- medical images
- medical imaging
- ct scans
- image reconstruction
- denoising algorithm
- noisy images
- denoising methods
- total variation
- natural images
- three dimensional
- image processing
- face recognition
- wavelet transform
- image classification
- x ray
- computer tomography
- ct data
- image patches
- signal processing
- imaging modalities
- multiresolution
- subband
- multiscale
- high dimensional data
- lung nodules
- frequency domain
- super resolution
- computer aided diagnosis
- image registration
- image sequences
- object recognition
- feature vectors
- contrast enhancement
- blood vessels
- image enhancement
- gaussian noise
- mr images
- high frequency
- magnetic resonance imaging
- image compression
- image analysis
- region of interest