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研究生: 葉名翰
Ming-han Yeh
論文名稱: 使用深度合成無錯模型之有效的3D視訊編碼深度圖最佳修改法
Efficient 3D Video Coding for Depth Image Using D-NOSE Model-based Optimal Modification
指導教授: 陳秋華
Chyou-Hwa Chen
鍾國亮
Kuo-Liang Chung
口試委員: 楊維寧
Wei-Ning Yang
廖弘源
Hong-Yuan Mark Liao
陳良弼
Arbee L.P. Chen
學位類別: 碩士
Master
系所名稱: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 39
中文關鍵詞: 3D視訊深度圖基於深度影像彩現深度合成無錯模型
外文關鍵詞: 3D video, depth value, depth no-synthesis-error (D-NOSE) model, depth-image-based rendering (DIBR)
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  • 為了節省儲存空間及傳輸頻寬,對於3D視訊中深度圖的壓縮往往會造成深度值的失真而在視角合成時產生彩現錯誤。由於深度圖中的深度值在一個限定範圍內不會在視角合成時產生彩現錯誤,故本篇論文中,我們提出一套在深度合成無錯模型下的3D視訊編碼深度圖最佳修改法,在此方法中修改後的深度值不會在視角合成時產生錯誤並且可以與H.264/MVC壓縮標準結合,使得壓縮過程中的殘差量最小,以達到壓縮最佳化的效果。實驗顯示我們所提出之方法不但可以在本質上地節省壓縮時的位元率還可以保持彩現過後影像的品質。


    Depth distortions caused by depth video coding which is required for storage and transmission considerations may cause geometry changes in view synthesis. However, for the depth value of each pixel, there exists a range within which no geometry changes will be observed. We propose an efficient 3D video coding which, for each pixel in the macroblock, modifies, without inducing any geometry change, the depth value to minimize the residual. Experiment results show that the proposed method substantially reduces the bitrate while preserving the quality of the rendered image.

    目 錄 iv 圖 目 錄 v 表 目 錄 vi 第一章 緒論 1 第二章 背景知識 6 2.1 深度圖與實際深度之間的關係 6 2.2 基於深度影像彩現 7 2.3 深度合成無錯模型 10 第三章 使用深度合成無錯模型之有效的3D視訊編碼深度圖最佳修改法 13 3.1 畫面內預測之深度圖修改法 13 3.2 畫面間預測之深度圖修改法 16 第四章 實驗方法與數據 19 第五章 結論 27 參考文獻 28

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