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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 貝蘇章(Soo-Chang Pei) | |
| dc.contributor.author | Shao-Yeh Huang | en |
| dc.contributor.author | 黃紹曄 | zh_TW |
| dc.date.accessioned | 2022-11-23T09:31:59Z | - |
| dc.date.available | 2021-09-02 | |
| dc.date.available | 2022-11-23T09:31:59Z | - |
| dc.date.copyright | 2021-09-02 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-08-18 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80210 | - |
| dc.description.abstract | 在惡劣的天氣條件下(尤其是在下雨的夜晚) 將使圖像質量下降，並導致許多基於視覺的應用失敗，例如自動駕駛和物體檢測。為了解決該問題並從夜間陰雨圖像中獲得清晰的圖像，我們提出了一種基於深度學習的單張夜間陰雨圖像除雨與強化模型。該模型包含兩個子模型：首先，亮度增強網絡基於對抗生成網路(GAN) 架構，用於將夜間陰雨圖像的亮度調整為更加清晰與明亮。然後，雨水去除網絡使用上下文相關的擴張網絡從強化後的圖像中除去除雨水條紋。基於改良JORDER和EnlightenGAN的訓練架構，提出的方法可以同時增強亮度效果並消除夜間多雨圖像的雨紋。透過在生成數據集和真實數據集上進行廣泛的實驗，所提出的方法比現有技術有了顯著的改進。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-23T09:31:59Z (GMT). No. of bitstreams: 1 U0001-2105202111543300.pdf: 50624377 bytes, checksum: 0a3c002f84b041e8674a5a492857b5f6 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | Contents Page Acknowledgements 3 摘要5 Abstract 7 Contents 9 List of Figures 13 List of Tables 17 Chapter 1 Introduction 1 Chapter 2 Background 5 2.1 Classical Low-Light Image Enhancement 5 2.1.1 Adaptive Histogram Equalization And Its Variations (AHE) 6 2.1.2 Lime: Lowlight Image Enhancement Via Illumination Estimation (LIME) 7 2.2 Classical Image Deraining Algorithms 9 2.2.1 Removing Rain From A Single Image Via Discriminative Sparse Coding (DSC) 10 2.2.2 Rain Streak Removal Using Layer Priors (GMM) 12 2.3 Generative Adversarial Network 14 Chapter 3 Deep Nighttime Image Enhancement 17 3.1 Image-to-Image Translation 17 3.1.1 Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) 18 3.1.2 Unsupervised Image-to-image Translation Networks (UNIT) 19 3.1.3 Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN) 20 3.2 Low-Light Image Enhancement 21 3.2.1 Learning to see in the dark (SID) 22 3.2.2 Low-Light Image Enhancement via a Deep Hybrid Network 23 3.2.3 EnlightenGAN: Deep Light Enhancement Without Paired Supervision 26 3.3 Experiment 29 Chapter 4 Deep Daytime Single Image Deraining 33 4.1 Deep Joint Rain Detection and Removal from a Single Image (JORDER) 33 4.2 Density-aware Single Image Deraining using a Multi-stream Dense Network (DIDMDN) 36 4.3 Image DeRaining Using a Conditional Generative Adversarial Network (IDCGAN) 38 4.4 Detail-recovery Image Deraining via Context Aggregation Networks (DRDNet) 39 4.5 Experiment 41 Chapter 5 Deep Nighttime Single Image Deraining 45 5.1 Related Work 45 5.1.1 A Joint Deep Neural Networks-based Method For Single Nighttime Rainy Image Enhancement 45 5.2 Proposed Deep Single Nighttime Rainy Image Deraining and Enhancement 47 5.2.1 Framework 47 5.2.2 Illumination Enhancement Network 49 5.2.3 Rain Removal Network 50 5.2.4 Training Data 51 5.2.5 Loss Function 52 5.2.6 Experiment 53 Chapter 6 Conclusion and Future Work 57 References 59 | |
| dc.language.iso | en | |
| dc.subject | 卷積神經網路 | zh_TW |
| dc.subject | 夜晚下雨除雨 | zh_TW |
| dc.subject | 生成對抗網路 | zh_TW |
| dc.subject | 夜晚影像強化 | zh_TW |
| dc.subject | Convolutional Neural Network | en |
| dc.subject | Nighttime Rainy Image Enhancement | en |
| dc.subject | Generative Adversarial Network | en |
| dc.subject | Nighttime Image Enhancement | en |
| dc.title | 基於深度學習的單張夜晚陰雨影像除雨與強化演算法 | zh_TW |
| dc.title | Deep Learning-based Single Nighttime Rainy Image Deraining and Enhancement Algorithm | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 杭學鳴(Hsin-Tsai Liu),鍾國亮(Chih-Yang Tseng),黃文良 ,丁建均 | |
| dc.subject.keyword | 夜晚影像強化,夜晚下雨除雨,生成對抗網路,卷積神經網路, | zh_TW |
| dc.subject.keyword | Nighttime Image Enhancement,Nighttime Rainy Image Enhancement,Generative Adversarial Network,Convolutional Neural Network, | en |
| dc.relation.page | 66 | |
| dc.identifier.doi | 10.6342/NTU202100915 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2021-08-19 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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