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研究生: 蕭桐
Hsiao, Tung
論文名稱: 用於解影像置中深度解封裝三維視訊之 增強深度影像上採樣和多視角生成
Improved Depth Upsampling and Multi-view Generation for Depacking Centralized Texture Depth Depacked 3D Videos
指導教授: 楊家輝
Yang, Jar-Ferr
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 55
中文關鍵詞: 深度圖上採樣基於深度影像生成技術影像置中深度封裝深度中值內插選擇式三層濾波器雙徑補洞
外文關鍵詞: Depth upsampling, Depth-image-based rendering, CTDP formats, Depth mid-average interpolation, Adaptive trilateral filter, Two-pass hole filling.
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  • 隨著3D影像技術的趨勢以及人們對於3D視覺感官的追求,愈來愈多的3D顯示產品或解決方案推層出新。在多視角3D電視廣播系統中配合裸眼3D顯示,框兼容3D格式被設計作為傳輸媒介,優點為降低頻寬需求更能在現有的2D電視廣播系統中傳輸3D影像。影像置中深度包裝格式(CTDP)不只具備框兼容特性,也優化解包裝後的影像品質;基於深度影像生成技術(DIBR) 利用了光學投射原理,給定一張2D影像與其他對應之深度資訊,將可以生成出看似從虛擬視角觀看之影像。本論文提出之系統結合CTDP格式解包裝端與DIBR處理下,提出的三個改善方法,含基於CTDP格式之深度中值內插、基於變異數之深度圖上採樣、及多視角深成的雙徑補洞技術。實驗結果顯示,深度圖深度中值內插已獲得不錯結果,基於變異數圖上採樣將深度標記,可透過適應性三層濾波器加以強化。最後,經雙徑補洞以強化虛擬視角影像後,本論文能將CTDP影像格式簡單地解出舒適的3D視覺體驗。

    With the trend of 3D video technology and the pursuit of 3D visual perception, more and more related 3D image products and solutions are released in the market. In the multi-views 3D TV broadcasting system, several frame-compatible 3D formats are designed to be the delivering 3D contents for naked-eye displays. It not only reduces the bandwidth requirement but also can be utilized in an existing 2D broadcasting channel. The centralized texture depth packing (CTDP) formats, which are frame-compatible 3D formats, can preserve better 3D quality. Depth image-based rendering (DIBR) based on the optic projection concept is a multi-views generation algorithm that takes a texture image frame and its associated depth map to synthesize images observed at the selected viewpoints. In this thesis, for the CTDP format depacker and its DIBR engine, we proposed three enhanced methods including depth central interpolation for depacking CTDP color depth, variance-based depth upsampling, and two-pass hole filling for DIBR process. Experimental results show that the depth central interpolation by using mid-average method achieve good quality. Variance-based depth upsampling improves the joint trilateral filter by adaptively applying the variance-based map. Finally, two-pass hole filling method can enhance the virtual view images. These researches achieve good 3D visual experiences depacked from CTDP video formats.

    摘 要 I Abstract II 致 謝 IV Contents IV List of Tables VII List of Figures VIIII Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Motivations 2 1.3 Thesis Organization 4 Chapter 2 Related Work 5 2.1 Centralized Texture Depth Packing Formats (CTDP) 6 2.2 Bicubic Interpolation 10 2.3 Joint Bilateral Upsampling 11 2.4 Depth-Image-based Rendering (DIBR) 12 2.4.1 Depth Map Preprocessing 13 2.4.2 3D Warping 14 2.4.3 Hole Filling 16 2.4.4 Extended Hole Filling 18 Chapter 3 The Proposed CTDP Depacking System and Its Improved Algorithms 19 3.1 Overview of the Proposed System 20 3.2 Depth Central Interpolation for YUV420 Chroma 21 3.3 Variance-based Depth Upsampling 24 3.3.1 Rational Depth Retrieving (RDR) 25 3.3.2 Variance-based Map 27 3.3.3 Variance-based Joint Bilateral Filter 30 3.4 Two-pass Hole Filling for DIBR 32 3.4.1 Top-down Hole Filling 33 3.4.2 Bottom-up Hole Filling 34 3.4.3 Two-Pass Filling Order Map 35 Chapter 4 Experimental Results 38 4.1 Analyses of Depth Central Interpolation Methods 40 4.2 Analysis of Depth Rational Retrieving 42 4.3 Analysis of Variance-based Depth Upsampling 44 4.4 Analyses of Two-Pass Hole Filling 47 Chapter 5 Conclusions 50 Chapter 6 Future Work 51 References 52

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