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Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 71–80 of 216 papers

TitleStatusHype
A Review on Deep Learning in Medical Image Reconstruction—0
Deep Low-rank Prior in Dynamic MR Imaging—0
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation—0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
Accelerated MRI With Deep Linear Convolutional Transform Learning—0
Deep learned SVT: Unrolling singular value thresholding to obtain better MSE—0
Backpropagation of Unrolled Solvers with Folded Optimization—0
High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction—0
An Algorithm Unrolling Approach to Deep Image Deblurring—0
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DFRSC-3FramesAverage PSNR (dB)34.48—Unverified
2QRSC-5FramesAverage PSNR (dB)33.5—Unverified
3DFRSC-2FramesAverage PSNR (dB)33.39—Unverified
4JAMNet-2FramesAverage PSNR (dB)32.93—Unverified
5AdaRSC-3FramesAverage PSNR (dB)28.23—Unverified
6SUNet-2FramesAverage PSNR (dB)27.76—Unverified
7JCDAverage PSNR (dB)25.59—Unverified
8DSUNAverage PSNR (dB)25.21—Unverified