Non-stationary noise estimation using dictionary learning and Gaussian mixture models.
James Michael HughesDaniel N. RockmoreYang WangPublished in: Image Processing: Algorithms and Systems (2014)
Keyphrases
- gaussian mixture model
- non stationary
- dictionary learning
- noise estimation
- sparse coding
- sparse representation
- noise level
- mixture model
- noisy images
- denoising
- em algorithm
- feature vectors
- gaussian distribution
- expectation maximization
- maximum likelihood
- image denoising
- natural images
- visual words
- feature space
- covariance matrices
- edge detection
- generative model
- image classification
- linear combination
- speech signal
- learning algorithm
- feature selection