【論文閱讀】A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions
論文：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 目錄 IMAGE ENHANCEMENT FRAMEWORK A. Pathway
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相關文章
- 1. 論文閱讀：Visibility in BadWeather from a Single Image（未完）
- 2. 閱讀論文：Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
- 3. CVPR2020(Enhancement)：論文解讀《Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement》
- 4. 閱讀論文《Deep Bilateral Learning for Real-Time Image Enhancement》
- 5. 閱讀論文《Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs》
- 6. 論文閱讀 《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. 【論文閱讀】MBLLEN: Low-light Image/Video Enhancement Using CNNs
- 9. 論文閱讀之 A Convex Optimization Framework for Active Learning
- 10. Incorporating biological structure into machine learning models in biomedicine（論文閱讀報告）