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 24312440 of 7282 papers

TitleStatusHype
Compression Artifacts Reduction by a Deep Convolutional NetworkCode0
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRICode0
IIDM: Image-to-Image Diffusion Model for Semantic Image SynthesisCode0
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast MammographyCode0
DVDnet: A Fast Network for Deep Video DenoisingCode0
Dual Caption Preference Optimization for Diffusion ModelsCode0
Identity Enhanced Residual Image DenoisingCode0
Identifying Recurring Patterns with Deep Neural Networks for Natural Image DenoisingCode0
Compressed Sensing: A Discrete Optimization ApproachCode0
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in HistopathologyCode0
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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