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

Showing 14211430 of 1459 papers

TitleStatusHype
On learning optimized reaction diffusion processes for effective image restorationCode0
Statistical Analysis of Loopy Belief Propagation in Random Fields0
Designing A Composite Dictionary Adaptively From Joint Examples0
Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing0
Image denoising based on improved data-driven sparse representation0
Inexact Alternating Direction Method Based on Newton descent algorithm with Application to Poisson Image Deblurring0
An Approach for Reducing Outliers of Non Local Means Image Denoising Filter0
Bayesian Image Restoration for Poisson Corrupted Image using a Latent Variational Method with Gaussian MRFCode0
Analytical Comparison of Noise Reduction Filters for Image Restoration Using SNR Estimation0
Higher-order MRFs based image super resolution: why not MAP?0
Show:102550
← PrevPage 143 of 146Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified