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 49614970 of 7282 papers

TitleStatusHype
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs0
Recent Progress in Transformer-based Medical Image Analysis0
Medical Image Denosing via Explainable AI Feature Preserving Loss0
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising0
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation0
Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression0
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor0
Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR0
Memoized Online Variational Inference for Dirichlet Process Mixture Models0
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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