Non-subsampled contourlet transform based image Denoising in ultrasound thyroid images using adaptive binary morphological operations.
Jayachandiran Jai Jaganath BabuGnanou Florence SudhaPublished in: IET Comput. Vis. (2014)
Keyphrases
- image denoising
- morphological operations
- input image
- natural images
- contourlet transform
- denoising
- directional filter banks
- edge preservation
- edge detection
- denoising methods
- wavelet domain hidden markov tree
- total variation regularization
- total variation
- image processing
- noisy images
- partial differential equations
- ultrasound images
- mathematical morphology
- wavelet domain
- image data
- binary images
- wavelet coefficients
- morphological filters
- gray scale
- spatial frequency
- gaussian noise
- image analysis
- image features
- multiresolution
- image enhancement
- object recognition
- three dimensional
- speckle noise
- denoising algorithm
- pattern recognition
- multiscale
- wavelet decomposition
- wavelet transform
- subband
- high frequency
- gray level
- structuring elements
- similarity measure
- higher peak signal to noise ratio
- image segmentation
- low frequency
- translation invariant
- noise removal
- morphological operators
- discrete wavelet transform
- image fusion
- image reconstruction
- image restoration