Gaussian mixture model learning based image denoising method with adaptive regularization parameters.
Jianwei ZhangJing LiuTong LiYuhui ZhengJin WangPublished in: Multim. Tools Appl. (2017)
Keyphrases
- gaussian mixture model
- denoising methods
- input image
- image segmentation
- denoising
- multiscale
- maximum likelihood
- image processing
- gaussian distribution
- image denoising
- edge detection
- learning algorithm
- prior knowledge
- high quality
- active learning
- expectation maximization
- mixture model
- image representation
- regularization parameter
- motion estimation
- high resolution
- em algorithm
- unsupervised learning
- image restoration
- feature extraction
- multiresolution
- feature vectors
- support vector