SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 16311640 of 7282 papers

TitleStatusHype
DenoiSeg: Joint Denoising and SegmentationCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Exploring the Loss Landscape in Neural Architecture SearchCode1
Comparison of Image Quality Models for Optimization of Image Processing SystemsCode1
Pyramid Attention Networks for Image RestorationCode1
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss SmoothingCode1
Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoderCode1
Microscopy Image Restoration using Deep Learning on W2SCode1
Learning an Adaptive Model for Extreme Low-light Raw Image ProcessingCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
Show:102550
← PrevPage 164 of 729Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified