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 1371–1380 of 1459 papers

TitleStatusHype
Near-Infrared Coloring via a Contrast-Preserving Mapping Model—0
Rain Removal via Shrinkage-Based Sparse Coding and Learned Rain Dictionary—0
Wavelet-Based Segmentation on the Sphere—0
Poisson Noise Reduction with Higher-order Natural Image Prior Model—0
Image Denoising Via Collaborative Support-Agnostic Recovery—0
An Adaptive Parameter Estimation for Guided Filter based Image Deconvolution—0
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality EvaluatorCode2
Fractional Calculus In Image Processing: A Review—0
Generic 3D Convolutional Fusion for image restoration—0
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
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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