MWCNN integrates wavelet transforms into CNNs for image restoration tasks like denoising and super-resolution by using wavelet downsampling and inverse transforms to maintain resolution and expand context.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Multi-level Wavelet Convolutional Neural Networks
MWCNN integrates wavelet transforms into CNNs for image restoration tasks like denoising and super-resolution by using wavelet downsampling and inverse transforms to maintain resolution and expand context.