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Image Denoising
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Image Denoising is a computer vision task that involves removing noise from an image. Noise can be introduced into an image during acquisition or processing, and can reduce image quality and make it difficult to interpret. Image denoising techniques aim to restore an image to its original quality by reducing or removing the noise, while preserving the important features of the image.
<span style="color:grey; opacity: 0.6">( Image credit: Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis
Fair Primal Dual Splitting Method for Image Inverse Problems
A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing
Closed-Form Approximation of the Total Variation Proximal Operator
A CT Image Denoising Method Based on Projection Domain Feature
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling
A Comparative Study of Image Denoising Algorithms
Learning to Translate Noise for Robust Image Denoising
Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising
Z-STAR+: A Zero-shot Style Transfer Method via Adjusting Style Distribution
Neighboring Slice Noise2Noise: Self-Supervised Medical Image Denoising from Single Noisy Image Volume
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
Adaptive Whole-Body PET Image Denoising Using 3D Diffusion Models with ControlNet
Untrained Perceptual Loss for image denoising of line-like structures in MR images
ADMIRE: a locally adaptive single-image, non-uniformity correction and denoising algorithm: application to uncooled IR camera
Adaptive Domain Learning for Cross-domain Image Denoising
Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data
Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm
Diffusion Priors for Variational Likelihood Estimation and Image Denoising
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
Data-Aware Training Quality Monitoring and Certification for Reliable Deep Learning
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration
An Improved Variational Method for Image Denoising
Tuning Frequency Bias of State Space Models
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization
DualDn: Dual-domain Denoising via Differentiable ISP
Quantitative and Qualitative Evaluation of NLM and Wavelet Methods in Image Enhancement
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
Noise-aware Dynamic Image Denoising and Positron Range Correction for Rubidium-82 Cardiac PET Imaging via Self-supervision
Taming Diffusion Models for Image Restoration: A Review
Pushing Joint Image Denoising and Classification to the Edge
Structure Modeling Activation Free Fourier Network for Spacecraft Image Denoising
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.