SOTAVerified

Image Restoration

Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).

Source: Blind Image Restoration without Prior Knowledge

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1441–1450 of 1459 papers

TitleStatusHype
Group-based Sparse Representation for Image RestorationCode0
Image Restoration Using Joint Statistical Modeling in Space-Transform Domain—0
Variational Image Segmentation Model Coupled with Image Restoration Achievements—0
A higher-order MRF based variational model for multiplicative noise reduction—0
Cascades of Regression Tree Fields for Image Restoration—0
A convergence proof of the split Bregman method for regularized least-squares problems—0
Revisiting loss-specific training of filter-based MRFs for image restoration—0
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs—0
Image Restoration using Total Variation with Overlapping Group Sparsity—0
A Robust Variational Model for Positive Image Deconvolution—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified