看过的论文汇总

经典算法：
1.Welsh经典算法

color transfer：
1.COLOR TRANSFER FOR UNDERWATER DEHAZING AND DEPTH ESTIMATION
2.Color Transfer between Images

网络：
1.WaterGAN的详细讲解
2.Enhancing Underwater Imagery using Generative Adversarial Networks
3.Multi-scale adversarial network for underwater image restoration
4.CycleGAN讲解
5.Multi-scale Single Image Dehazing using Perceptual Pyramid Deep Network
6.Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

GAN系列的总结
pytorch训练GAN的代码（基于MNIST数据集）

深度学习：
1.A DEEP CNN METHOD FOR UNDERWATER IMAGE ENHANCEMENT
2.A Deep Learning Approach for Underwater Image Enhancement
3.Deep Learning Underwater Image Color Correction and Contrast Enhancement Based on Hue Preservation

金字塔：
1.Underwater Image Enhancement via L2 based Laplacian Pyramid Fusion
2.

反射去除梯度域：
1.CoRRN: Cooperative Reflection Removal Network
2.Gradient Guided Image Deblocking Using Convolutional Neural Networks

CRRN与CoRRN的区别

反射去除：
1.Joint Reflection Removal and Depth Estimation From a Single Image

去伪像：
1.Deep Convolution Networks for Compression Artifacts Reduction

去雨：
1.Depth-attentional Features for Single-image Rain Removal

低照度：
1.Efficient Illuminant Estimation for Color Constancy Using Grey Pixels

图像去雾：
1.Locally Adaptive Color Correction for Underwater Image Dehazing and Matching
2.Underwater Image Enhancement by Dehazing WithMinimum Information Loss and Histogram Distribution Prior
3.Underwater Image Enhancement: Using Wavelength Compensation and Image Dehazing (WCID)
4.NIGHTTIME HAZE REMOVAL USING COLOR TRANSFER PRE-PROCESSING AND DARK CHANNEL PRIOR

图像增强
1.A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions

颜色恒常：
1.Color Constancy by Learning to Predict Chromaticity from Luminance