Review: MWCNN — Multi-Level Wavelet-CNN for Image Restoration (Denoising & Super Resolution & JPEG Deblocking)

Wavelet Input to U-Net, Outperforms ARCNN, IRCNN, VDSR, DnCNN, RED-Net, SRResNet, LapSRN, DRRN, MemNet and WavResNet.

Outline

1. From Wavelet to MWCNN

Multi-level WPT architecture
Multi-level wavelet-CNN architecture

2. Network Architecture

Multi-level wavelet-CNN architecture

3. Experimental Results

Average PSNR(dB)/SSIM results on datasets Set14, BSD68 and Urban100
Visual Quality
Average PSNR(dB) / SSIM results on datasets Set5, Set14, BSD100 and Urban100
Visual Quality
Average PSNR(dB) / SSIM results on datasets Classic5 and LIVE1
Run Time in Seconds
Average PSNR (dB) and run time (in seconds) of MWCNNs with different levels on Gaussian denoising with the noise level of 50.

During the days of coronavirus, I hope to write 30 stories in this month to give myself a small challenge. And this is the 33rd story in this month. Thanks for visiting my story…

Last day of this month. How about 35 stories within this month…?

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store