retinex 的水下图像增强算法_图像增强调研

说明

• 较多为低光照图像增强；不包含去噪、去雾、超分辨、图像恢复。虽然调整曝光也可以说是图像恢复。
• 以下分类不是很合适，DeepLPF(CVPR 2020)提出的分类方法较好：global, local , global & local。后面再重新编排。
• 正在不断上传中，会不断更新，不仅仅是目前列出来的这些。

暂且先分为三大类

传统篇

（这里可以对传统图像增强做个分类，基于对比度增强、Retinex增强，色彩增强等；传统的算法多而且公式推导多，比较难。最后再更新！）

2010之前

HE： histogram equalization

CLAHE：Contrast limited adaptive histogram equalization: speed and effectiveness (IEEE Transl. on Consumer Electronics 1990)

MSR： Multi-scale retinex for color image enhancement (ICIP 1996)

BPDHE： Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement (TCE 2007)

2011

GUM： A Generalized Unsharp Masking Algorithm (Tip 2011)

FEAE: Fast efficient algorithm for enhancement of low lighting video (ICME 2011)

2013

NPE: Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images (Tip 2013)

2016

SRIE (WVM): A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation (CVPR 2016)

2017

LIME: LIME Low-light Image Enhancement via Illumination Map Estimation (Tip 2017)

2018

SRLL: Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model (Tip 2018)

2019

ALSM:Low-Light Image Enhancement via the Absorption Light Scattering Model (Tip 2019)

2020

LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model (Tip 2020)

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深度学习篇：

2014

A Learning-to-Rank Approach for Image Color Enhancement (CVPR 2014)

2015

LLNet: Low-light Image Enhancement with Deep Learning (Pattern Recognition 2015)

2016

2017

HDRNet: Deep Bilateral Learning for Real-Time Image Enhancement (SIGGRAGH 2017)

DPED: DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks (ICCV 2017)

LLCNN: A Convolutional Neural Network for Low-light Image Enhancement (VCIP 2017)

2018

Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs (CVPR 2018)

WESPE: WESPE-Weakly Supervised Photo Enhancer for Digital Cameras (CVPR 2018)

Learning to See in the Dark (CVPR 2018)

Range Scaling Global U-Net for Perceptual Image Enhancement on Mobile Devices (ECCV 2018)

Deep Networks for Image-to-Image Translation with Mux and Demux Layers (ECCV 2018)

SICE: Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)

Mbllen: Low-light Image Video A Enhancement Using CNNs (BMVC 2018)

RetinexNet: Deep Retinex Decomposition for Low-Light Enhancement (BMVC 2018)

Lightennet：A Convolutional Neural Network for weakly illuminated image enhancement (Pattern Recognition Letters 2018)

2019

DeepUPE：Underexposed Photo Enhancement using Deep Illumination Estimation (CVPR 2019)

EnlightenGAN: Deep Light Enhancement without Paired Supervision (CVPR arxiv 2019)

ConLow-Light Image Enhancement via a Deep Hybrid Network (Tip 2019)rkshop 2019)

Low-Light Image Enhancement via a Deep Hybrid Network(Tip 2019)

DeepISP：Toward Learning an End-to-End Image Processing Pipeline (Tip 2019)

KinD: Kindling the Darkness: A Practical Low-light Image Enhancer (ACM MM 2019)

Progressive Retinex- Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement (ACM MM 2019)

Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise (ICCV 2019)

Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset (Arxiv 2019)

2020

Zero-DCE: Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement(CVPR 2020)

DeepLPF: Deep Local Parametric Filters for Image Enhancement (CVPR 2020)

Learning to Restore Low-Light Images via Decomposition-and-Enhancement (CVPR 2020)

From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement (CVPR 2020)

GLeNet: Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement(ECCV 2020)

PieNet: Personalized Image Enhancement Network (ECCV 2020)

CSRNet: Conditional Sequential Modulation for Efficient Global Image Retouching (ECCV 2020)

MIRNet: Learning Enriched Features for Real Image Restoration and Enhancement (ECCV 2020)

EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network (AAAI 2020)

Enhancing Underexposed Photos using Perceptually Bidirectional Similarity (TMM 2020)

CURL: Neural Curve Layers For Global Image Enhancement(Arxiv 2020) A good job actually!

RRDNet: Zero-Shot Restoration of Underexposed Images via Robust Retinex Decomposition (ICME 2020) A good job too!

还有一些相关，但基本是去噪，图像恢复之类，正在看。

URIE: Universal Image Enhancement for Visual Recognition in the Wild (ECCV 2020)

Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images (ECCV 2020)

Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping (ECCV 2020)

Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video

Dynamic Low-light Imaging with Quanta Image Sensors (ECCV 2020)

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强化学习篇：

（这里可以加一段概述，强化学习做图像增强的思路都有哪些？难点都在哪？可以改进的地方呢？）

Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning(cvpr 2018)

A White Box: Exposure: A White-Box Photo Post-Processing Framework(ACM TOG 2018)

DeepExposure: Learning To Expose Photos With Asynchronously Reinforced Adversarial Learning(NIPS 2018)

FRL: Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software(AAAI 2020)