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 1351–1400 of 1459 papers

TitleStatusHype
Learning Dynamic Guidance for Depth Image Enhancement—0
Image Restoration from Patch-based Compressed Sensing Measurement—0
Self-Committee Approach for Image Restoration Problems using Convolutional Neural Network—0
Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration—0
Learning Deep CNN Denoiser Prior for Image RestorationCode0
Convolutional Neural Pyramid for Image Processing—0
Restoration of Images with Wavefront Aberrations—0
Image Restoration using Autoencoding Priors—0
Discriminative Transfer Learning for General Image Restoration—0
Incident Light Frequency-based Image Defogging Algorithm—0
Speckle Reduction with Trained Nonlinear Diffusion Filtering—0
Manifold Based Low-rank Regularization for Image Restoration and Semi-supervised Learning—0
An Edge Driven Wavelet Frame Model for Image Restoration—0
A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction—0
Shape Estimation from Defocus Cue for Microscopy Images via Belief Propagation—0
Local Sparse Approximation for Image Restoration with Adaptive Block Size Selection—0
Deeply Aggregated Alternating Minimization for Image Restoration—0
Autoencoder-based holographic image restoration—0
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold SimplificationCode0
Can fully convolutional networks perform well for general image restoration problems?—0
A Variational Bayesian Approach for Image Restoration. Application to Image Deblurring with Poisson-Gaussian Noise—0
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
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
CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration—0
High-speed real-time single-pixel microscopy based on Fourier sampling—0
Simultaneous Inpainting and Denoising by Directional Global Three-part Decomposition: Connecting Variational and Fourier Domain Based Image Processing—0
Robust Kernel Estimation With Outliers Handling for Image Deblurring—0
Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration—0
Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints—0
Image Restoration with Locally Selected Class-Adapted Models—0
A Geometric Approach to Color Image Regularization—0
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity—0
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications—0
Effective Backscatter Approximation for Photometry in Murky Water—0
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip ConnectionsCode0
Support Driven Wavelet Frame-based Image Deblurring—0
Single Image Restoration for Participating Media Based on Prior Fusion—0
Patch-Ordering as a Regularization for Inverse Problems in Image ProcessingCode0
Denoising and Covariance Estimation of Single Particle Cryo-EM Images—0
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis—0
Image Restoration and Reconstruction using Variable Splitting and Class-adapted Image Priors—0
Algorithm-Induced Prior for Image Restoration—0
Quality Adaptive Low-Rank Based JPEG Decoding with Applications—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