Signal and Noise Adapted Filters for Differential Motion Estimation.
Kai KrajsekRudolf MesterPublished in: DAGM-Symposium (2005)
Keyphrases
- motion estimation
- impulse response
- wiener filter
- high pass
- bandpass
- nonlinear filters
- additive noise
- adaptive filter
- random noise
- low pass filter
- median filter
- low signal to noise ratio
- signal detection
- removing noise
- white noise
- band pass filters
- noise reduction
- frequency domain
- spatial filtering
- signal to noise ratio
- spatial domain
- high frequency
- optical flow
- received signal
- low pass
- noise free
- noise model
- motion compensated
- noisy data
- denoising methods
- motion compensation
- low frequency
- noisy environments
- digital filters
- image restoration
- noise level
- denoising
- signal processing
- linear filters
- noise suppression
- spatial filters
- computational complexity
- video sequences
- morphological filters
- frequency response
- motion vectors
- image sequences
- super resolution
- impulsive noise
- adaptive filtering
- video coding
- multiplicative noise
- direct sequence spread spectrum
- block matching
- openings and closings
- perfect reconstruction
- computer vision
- image noise
- impulse noise
- image denoising
- filter bank
- image processing