Gradient of Mutual Information in Linear Vector Gaussian Channels in the Presence of Input Noise.
Fraser K. CouttsJohn S. ThompsonBernard MulgrewPublished in: EUSIPCO (2020)
Keyphrases
- mutual information
- statistically independent
- gaussian noise
- image registration
- information theoretic
- nonlinear functions
- input data
- gradient estimation
- noise sensitivity
- information gain
- zero crossing
- multi channel
- linearly independent
- linear filters
- gaussian filter
- noisy data
- edge detection
- feature selection
- directional filters
- gradient vectors
- similarity measure
- differential operators
- medical image registration
- noise free
- noise model
- median filter
- signal to noise ratio
- noise level
- noise reduction
- kullback leibler divergence
- missing data
- denoising
- gradient vector
- information theoretic measures
- image restoration
- image structure
- vector space
- single channel
- impulse response
- image processing