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Image Denoising

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하위 태스크: 2
평가표: 21
보존된 평가 기록: 110

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>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mahdihosseini/1Shot-MaxPol

공식 코드

Convolutional Deblurring for Natural Imaging

https://github.com/mahmad00/conventional-to-transformer-for-hyperspectral-image-classification-survey-2024

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A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models

https://github.com/majedelhelou/BUIFD

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Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

https://github.com/majedelhelou/SFM

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Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

https://github.com/mbahri/KDRSDL

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Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling

https://github.com/mbkiss/2detectcodes

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2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning

https://github.com/mdi-tokyotech/spatio-spectral-structure-tensor-total-variation-for-hyperspectral-image-denoising-and-destriping

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Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping

https://github.com/medimair/brain-mri-processing-pipeline

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Negligible effect of brain MRI data preprocessing for tumor segmentation

https://github.com/megvii-model/HINet

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HINet: Half Instance Normalization Network for Image Restoration

https://github.com/megvii-research/NAFNet

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Simple Baselines for Image Restoration

https://github.com/megvii-research/NBNet

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NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

https://github.com/megvii-research/PMRID

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Practical Deep Raw Image Denoising on Mobile Devices

https://github.com/megvii-research/TLC

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Improving Image Restoration by Revisiting Global Information Aggregation

https://github.com/megvii-research/pmn

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Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling

https://github.com/meijitian/zs-denoisier-hrem

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Zero-Shot Image Denoising for High-Resolution Electron Microscopy

https://github.com/merenguelkl/ddt

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DDT: Dual-branch Deformable Transformer for Image Denoising

https://github.com/mindspore-lab/mindediting

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Tunable Convolutions with Parametric Multi-Loss Optimization

https://github.com/mirthai/fast-ddpm

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Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

https://github.com/mirthai/gdm-ve

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Geodesic Diffusion Models for Medical Image-to-Image Generation

https://github.com/mlaves/uncertainty-deep-image-prior

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Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior

https://github.com/mli-lab/scaling_laws_for_deep_learning_based_image_reconstruction

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Scaling Laws For Deep Learning Based Image Reconstruction

https://github.com/mogvision/adl

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Adversarial Distortion Learning for Medical Image Denoising

https://github.com/morefre/decoupled-data-consistency-with-diffusion-purification-for-image-restoration

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Decoupled Data Consistency with Diffusion Purification for Image Restoration

https://github.com/mrayyans/flips

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Fast Algorithm for Constrained Linear Inverse Problems

https://github.com/mrbled/icicp_2023_wiener

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Pushing The Limits of the Wiener Filter in Image Denoising

https://github.com/mv-lab/AISP

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Model-Based Image Signal Processors via Learnable Dictionaries

https://github.com/mv-lab/InstructIR

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InstructIR: High-Quality Image Restoration Following Human Instructions

https://github.com/myuli/sert

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Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

https://github.com/myuli/sst

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Spatial-Spectral Transformer for Hyperspectral Image Denoising

https://github.com/nadja1611/self2seg

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Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising

https://github.com/nagejacob/spatiallyadaptivessid

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Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising

https://github.com/nagejacob/tbsn

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Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising

https://github.com/nalinimsingh/interlacer

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Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

https://github.com/nikopj/cdlnet-ojsp

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CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning

https://github.com/nikopj/groupcdl-tip

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Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning

https://github.com/niuchuangnn/noise2sim

공식 코드

Suppression of Correlated Noise with Similarity-based Unsupervised Deep Learning

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