A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual Quality.
Çaglar AytekinSakari AleniusDmytro PaliyJuuso GrenPublished in: CoRR (2021)
Keyphrases
- denoising
- perceptual quality
- subband
- wavelet domain
- low frequency
- wavelet coefficients
- visual quality
- bit rate
- wavelet decomposition
- high frequency
- wavelet packet
- frequency domain
- wavelet transform
- discrete wavelet transform
- image denoising
- denoising algorithm
- video quality
- image quality
- multiresolution
- human visual system
- filter bank
- contourlet transform
- lifting scheme
- low pass
- locally adaptive
- image processing
- human perception
- image compression
- multiscale
- bit allocation
- natural images
- denoising methods
- translation invariant
- rate distortion
- feature vectors
- image quality assessment
- bitstream
- video coding
- spatial domain
- structural similarity
- reconstructed image
- bit plane
- low bit rate
- quality metrics
- rate control
- image coding
- computer vision
- generalized gaussian density
- error propagation
- macroblock
- computational complexity