FastSHADE is a new efficient hierarchical denoising network that achieves real-time mobile inference (<50 ms) and up to 37.94 dB PSNR on the MAI2021 benchmark via asymmetric frequency blocks and noise-shifting self-augmentation.
Collabo- rative filtering of correlated noise: Exact transform-domain variance for improved shrinkage and patch matching.IEEE Transactions on Image Processing, 29:8339–8354
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FastSHADE: Fast Self-augmented Hierarchical Asymmetric Denoising for Efficient inference on mobile devices
FastSHADE is a new efficient hierarchical denoising network that achieves real-time mobile inference (<50 ms) and up to 37.94 dB PSNR on the MAI2021 benchmark via asymmetric frequency blocks and noise-shifting self-augmentation.