CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters.
Paul GavrikovJanis KeuperPublished in: CVPR (2022)
Keyphrases
- steerable filters
- filtering scheme
- image filters
- low pass filter
- finite impulse response
- filter design
- bandpass
- adaptive filter
- optimal filter
- median filter
- nonlinear filters
- quadrature mirror
- filter responses
- frequency response
- cellular neural networks
- correlation filters
- rank order
- morphological filters
- error criterion
- noise suppression
- impulsive noise
- wiener filter
- perfect reconstruction
- high pass
- filtering method
- infinite impulse response
- convolutional network
- digital filters
- impulse response
- vessel enhancement
- bilateral filter
- filter coefficients
- filter bank
- order statistics
- linear filters
- adaptive filtering
- spatial filtering
- image filtering
- gaussian filter
- stack filters
- convolutional neural network
- filter outputs
- band pass filters
- fir filters
- filtering process
- noise reduction
- deep learning
- subband
- directional filtering
- spam filters
- convolutional neural networks
- image details
- color images
- iir filters
- orientation selective
- filtering algorithm
- gabor filters
- sparse coding
- recursive filters
- neural network
- nl means
- filtered images
- denoising
- wavelet transform
- image processing