Sensitivity Analysis of Likelihood Ratio Test in K Distributed and/or Gaussian Noise.
Olivier BessonYuri I. AbramovichPublished in: IEEE Signal Process. Lett. (2015)
Keyphrases
- sensitivity analysis
- gaussian noise
- likelihood ratio test
- denoising
- managerial insights
- noisy images
- signal to noise ratio
- image restoration
- noise level
- noise removal
- hypothesis testing
- likelihood ratio
- jpeg compression
- influence diagrams
- salt and pepper noise
- impulse noise
- variational inequalities
- noise variance
- generalized likelihood ratio test
- image processing
- noise reduction
- point correspondences
- statistical analysis
- natural images
- face recognition
- machine learning