Signal detection in compound-Gaussian noise: Neyman-Pearson versus GLRT.
Ernesto ConteAntonio De MaioCarmela GaldiPublished in: ISSPA (1999)
Keyphrases
- gaussian noise
- signal detection
- neyman pearson
- denoising
- noisy images
- image restoration
- signal to noise ratio
- noise level
- noise model
- type ii
- noise removal
- impulse noise
- neural network
- low signal to noise ratio
- weak signal
- jpeg compression
- salt and pepper noise
- image denoising
- noise variance
- noise reduction
- support vector machine
- binary classification
- image classification
- optical flow
- computational complexity
- image segmentation