Postfiltering Using an Adversarial Denoising Autoencoder with Noise-aware Training.
Naohiro TawaraHikari TanabeTetsunori KobayashiMasaru FujiedaKazuhiro KatagiriTakashi YazuTetsuji OgawaPublished in: ICASSP (2019)
Keyphrases
- denoising
- gaussian noise
- additive gaussian noise
- noise removal
- denoising algorithm
- image denoising
- spatially adaptive
- noisy images
- denoising methods
- noise level
- wavelet shrinkage
- training examples
- total variation
- restricted boltzmann machine
- missing data
- wavelet denoising
- image processing
- edge preservation
- natural images
- training set
- training process
- training data
- noise model
- noise reduction
- median filter
- artificial neural networks
- filtering method
- feedforward neural networks
- signal to noise ratio
- removing noise
- supervised learning
- training samples
- frequency domain
- noise suppression
- high frequency
- noisy data
- wavelet domain
- impulse noise
- low frequency
- wavelet packet