图像降噪

参考文章：

CVonline: Image Databases，数据集集合

http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm#rgbd

《NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results》阅读

https://blog.csdn.net/liujiuxiaoshitou/article/details/106474655

【Deep Learning】THOP+torchstat 计算PyTorch模型的FLOPs，问题记录与解决

https://blog.csdn.net/weixin_43519707/article/details/108512921

Python获取秒级时间戳与毫秒级时间戳 - 北方卧龙 - 博客园

https://www.cnblogs.com/mashuqi/p/11576705.html

侧窗滤波算子Side Window Filtering, 新颖

CVPR2019 Oral论文《Side Window Filtering》解读及算法 Python 实现

https://blog.csdn.net/qq_41658212/article/details/107164409

https://github.com/Beta-y/Side_Window_Filtering

Python implementation of CVPR 2019 Oral paper "Side Window Filtering"

https://github.com/AIAFammy/Side-Window-Filtering-Python

The Pytorch Implementation of Side Window Filtering

https://github.com/dontLoveBugs/SideWindowFilter

UNet，及网络轻量化

深入理解深度学习分割网络Ｕnet——U-Net: Convolutional Networks for Biomedical Image Segmentation

https://blog.csdn.net/Formlsl/article/details/80373200

【Unet系列】Unet & Unet++

https://blog.csdn.net/github_37973614/article/details/84559861

浅谈Attention UNet，医学图像分割-Attention Unet

https://blog.csdn.net/rosefun96/article/details/88868527

https://zhuanlan.zhihu.com/p/87582535

论如何做到轻量级网络(Unet为例)

https://blog.csdn.net/qq_38262266/article/details/105278072

UNet Code：

https://github.com/Andy-zhujunwen/UNET-ZOO

https://github.com/MoleImg/Attention_UNet

ISP降噪历史进展和启发

图像视频降噪的现在与未来——从经典方法到深度学习

https://blog.csdn.net/vn9plgzvnps1522s82g/article/details/103813982

深度学习图像去噪算法总结，很多论文经验总结

https://blog.csdn.net/weixin_45250844/article/details/103153852

ISP降噪数据集

数字图像处理/计算机视觉常用数据集资源（预览+下载），小数据集

https://blog.csdn.net/iteapoy/article/details/86062640

数据集下载，MIRFLICKR，DND，SIDD，CVonline

https://blog.csdn.net/weixin_38342946/article/details/105633845

图像去噪数据集

https://blog.csdn.net/zbwgycm/article/details/82144242

MIRFLICKR

https://press.liacs.nl/mirflickr/

http://press.liacs.nl/mirflickr/mirdownload.html

DND，darmstadt noise dataset，及性能评价和统计

https://noise.visinf.tu-darmstadt.de/

https://noise.visinf.tu-darmstadt.de/benchmark/#results_raw

目前深度学习开源数据集整理，有不少图像库的链接

https://blog.csdn.net/lin455989875/article/details/104589675

SIDD

Ground truth image estimation used for the Smartphone Image Denoising Dataset (SIDD)，及SIDD数据集，raw数据处理

https://github.com/AbdoKamel/sidd-ground-truth-image-estimation

https://github.com/AbdoKamel/simple-camera-pipeline

A High-Quality Denoising Dataset for Smartphone Cameras 阅读笔记，推荐了SIDD

https://blog.csdn.net/ZHANG2012LIANG/article/details/88085124

https://blog.csdn.net/u012348774/article/details/80642194

SIDD训练集下载

https://www.eecs.yorku.ca/~kamel/sidd/dataset.php

SIDD验证集下载

https://www.eecs.yorku.ca/~kamel/sidd/benchmark.php

PolyU Dataset

https://github.com/csjunxu/PolyU-Real-World-Noisy-Images-Dataset

Batch Normalization在超分辨率等图像处理领域的缺点

https://blog.csdn.net/qq_34622844/article/details/88133694

ISP深度学习去噪

深度学习真实图像去噪算法总结

https://blog.csdn.net/yzy__zju/article/details/91384577

图像画质增强，鹅厂算法工程师专题

https://blog.csdn.net/weixin_45250844/category_9127019.html

https://blog.csdn.net/weixin_45250844/article/list/1?t=1

BM3D图像去噪算法原理及代码详解

https://blog.csdn.net/weixin_45250844/article/details/103153155

图像去噪，深度学习去噪，普通方法

https://blog.csdn.net/qq_27009517/article/details/104774884

深度学习在图像去噪方面最近有哪些进展，与传统方法相比效果如何？

https://www.zhihu.com/question/66359919/answer/241658817

论文和code总结

https://paperswithcode.com/task/denoising

用生成对抗神经网络进行图像去噪【ImageDenoisingGAN】Image Denoising Using a Generative Adversarial

https://blog.csdn.net/iteapoy/article/details/90574803

论文集、数据集、传统方法总结

awesome image and video denoising, state of the art networks

https://github.com/z-bingo/awesome-image-denoising-state-of-the-art

Raw Denoise

CycleISP

https://github.com/swz30/CycleISP

论文解读：Cycle ISP Real Image Restoration via Improved Data Synthesis

https://blog.csdn.net/matrix_space/article/details/106979946

https://blog.csdn.net/Najlepszy/article/details/105181494

Unprocessing（UPI）

https://github.com/timothybrooks/unprocessing

https://github.com/aasharma90/UnprocessDenoising_PyTorch

成果展示

https://www.timothybrooks.com/tech/unprocessing/darmstadt-supp/

论文解读，噪声图像生成，解释ISP与NPU协作

https://blog.csdn.net/weixin_45250844/article/details/108889525

DND sRGB denoise相关模型

Benchmarking Denoising Algorithms with Real Photographs，3年前的简单汇总

https://github.com/lbasek/image-denoising-benchmark

DnCNN，Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

https://blog.csdn.net/gyt15663668337/article/details/84886964

AINDNet，Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)

https://github.com/terryoo/AINDNet

Noise2Noise，Learning Image Restoration without Clean Data论文详解，训练图像去噪不需要无噪的原图像

https://blog.csdn.net/weixin_36474809/article/details/86535639

RIDNet，《Real Image Denoising with Feature Attention》阅读笔记

https://github.com/saeed-anwar/RIDNet

https://blog.csdn.net/liujiuxiaoshitou/article/details/106171150

Identity mapping in Deep Residual Networks，IERD-preReLU来源

https://github.com/saeed-anwar/IERD

https://blog.csdn.net/a793620101/article/details/53219375

BayerUnifyAug, 旷视提出的raw域降噪

Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation, 论文解读

https://blog.csdn.net/qq_27871973/article/details/96869379

https://zhuanlan.zhihu.com/p/265175502

Python toolbox for Bayer Raw image unification and augmentation, 代码实现, 旷视提出的raw域降噪

https://github.com/Jiaming-Liu/BayerUnifyAug

PD-Denoising-pytorch, 旷视提出的sRGB域降噪

https://github.com/yzhouas/PD-Denoising-pytorch

MIRNet，【论文笔记】Learning Enriched Features for Real Image Restoration and Enhancement, 将CycleISP网络用于降噪, raw2RGB, 超分

https://github.com/swz30/MIRNet

https://blog.csdn.net/mohc1689/article/details/105980715/

PT-MWRN

https://github.com/happycaoyue/PT-MWRN

DPDN

https://github.com/jyicu/DPDN

CBDNet，论文笔记：Toward Convolutional Blind Denoising of Real Photographs

https://github.com/IDKiro/CBDNet-pytorch

https://github.com/GuoShi28/CBDNet

https://blog.csdn.net/zbwgycm/article/details/82052003

SADNet

https://github.com/JimmyChame/SADNet

DANet

https://github.com/zsyOAOA/DANet

PRIDNet，《Pyramid Real Image Denoising Network》阅读笔记

https://github.com/491506870/PRIDNet

https://blog.csdn.net/liujiuxiaoshitou/article/details/107766038

GradNet-Image-Denoising

https://github.com/Lillian1082/GradNet-Image-Denoising

NTGAN

https://github.com/RickZ1010/NTGAN-Learning-Blind-Image-Denoising-Without-Clean-Reference

VDNet

https://github.com/zsyOAOA/VDNet

ATDNet

https://github.com/terryoo/ATDNet

WDnCNN

https://github.com/RickZ1010/WDnCNN

TWSC

https://github.com/csjunxu/TWSC-ECCV2018

DnCNN

https://github.com/SaoYan/DnCNN-PyTorch

FFDNet，FFDNet: Toward a Fast and Flexible Solution forCNN based Image Denoising

https://gitee.com/jakesky/FFDNet