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 24612470 of 7282 papers

TitleStatusHype
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders0
Deep Boosting for Image Denoising0
Exact Sparse Orthogonal Dictionary Learning0
Example-based super-resolution for point-cloud video0
Deep Belief Networks for Image Denoising0
DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices0
AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising0
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery0
A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends0
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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