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