A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual Quality
Author:
Affiliation:
1. AAC Technologies,Tampere,Finland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9733399/9733432/09733576.pdf?arnumber=9733576
Reference29 articles.
1. Learning Raw Image Denoising With Bayer Pattern Unification and Bayer Preserving Augmentation
2. Real Image Denoising Based on Multi-Scale Residual Dense Block and Cascaded U-Net with Block-Connection
3. Densely Self-guided Wavelet Network for Image Denoising
4. Superkernel Neural Architecture Search for Image Denoising
5. NTIRE 2019 Challenge on Real Image Denoising: Methods and Results
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