Evaluating the EM algorithm for image processing using a human visual fidelity criterion.
James C. BraileanBarry J. SullivanChin-Tu ChenMaryellen L. GigerPublished in: ICASSP (1991)
Keyphrases
- em algorithm
- human visual
- image processing
- expectation maximization
- human vision
- mixture model
- maximum likelihood
- gaussian mixture model
- parameter estimation
- natural scenes
- generative model
- human visual system
- computer vision
- subjective evaluation
- image compression
- denoising
- density estimation
- probabilistic model
- visual saliency
- image quality assessment
- multiscale
- maximum a posteriori
- probability density function
- natural images
- selection criterion
- visual quality
- mutual information
- eye movements
- prior knowledge
- machine learning
- multiresolution