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

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Showing 1401–1425 of 1459 papers

TitleStatusHype
Low-rank Matrix Factorization under General Mixture Noise Distributions—0
Sparse Representation of a Blur Kernel for Blind Image Restoration—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors—0
Loss Functions for Neural Networks for Image ProcessingCode0
Color graph based wavelet transform with perceptual information—0
Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients—0
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion—0
Bregman Iteration for Correspondence Problems: A Study of Optical Flow—0
Matrix Factorisation with Linear Filters—0
A Total Fractional-Order Variation Model for Image Restoration with Non-homogeneous Boundary Conditions and its Numerical Solution—0
Improving Image Restoration with Soft-Rounding—0
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration—0
Deep Networks for Image Super-Resolution with Sparse Prior—0
Coercive functions from a topological viewpoint and properties of minimizing sets of convex functions appearing in image restoration—0
UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints—0
L0TV: A New Method for Image Restoration in the Presence of Impulse Noise—0
Diffusion Methods for Classification with Pairwise Relationships—0
The structure of optimal parameters for image restoration problems—0
Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes—0
On learning optimized reaction diffusion processes for effective image restorationCode0
Statistical Analysis of Loopy Belief Propagation in Random Fields—0
Designing A Composite Dictionary Adaptively From Joint Examples—0
Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing—0
Image denoising based on improved data-driven sparse representation—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