Information theoretic principles of universal discrete denoising.
Janis NötzelAndreas J. WinterPublished in: ISWCS (2017)
Keyphrases
- information theoretic
- denoising
- mutual information
- information theory
- image denoising
- theoretic framework
- information bottleneck
- entropy measure
- information theoretic measures
- image processing
- kullback leibler divergence
- noisy images
- jensen shannon divergence
- total variation
- kl divergence
- relative entropy
- natural images
- gaussian noise
- computational learning theory
- multi modality
- minimum description length
- computer vision
- log likelihood
- bregman divergences
- similarity measure