【论文阅读】A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions

时间 2021-02-25

标签论文深度学习繁體版

原文原文链接

论文：A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions 作者：Kai-Fu Yang 年份：2020年期刊：IEEE TRANSACTIONS ON IMAGE PROCESSING 目录 IMAGE ENHANCEMENT FRAMEWORK A. Pathway

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1. 论文阅读：Visibility in BadWeather from a Single Image（未完）
2. 阅读论文：Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
3. CVPR2020(Enhancement)：论文解读《Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement》
4. 阅读论文《Deep Bilateral Learning for Real-Time Image Enhancement》
5. 阅读论文《Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs》
6. 论文阅读《BiCov: a novel image representation for person re-identification and face verification》
7. MyDLNote-Enhancement: [2020] Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
8. 【论文阅读】MBLLEN: Low-light Image/Video Enhancement Using CNNs
9. 论文阅读之　A Convex Optimization Framework for Active Learning
10. Incorporating biological structure into machine learning models in biomedicine（论文阅读报告）

>>更多相关文章<<