近來隨著3D電影以及3D電視越來越蓬勃發展，特別是裸視立體螢幕的技術逐漸進步，人們將不再需要配戴立體眼鏡即可透過螢幕欣賞立體影像。為了製作立體的影像內容，最常見的方法就是利用原本的2D影像內容以及其相對應的深度圖，透過基於深度繪圖 (Depth-Image-Based Rendering, DIBR) 的技術來產生多視角的立體影像。但到目前為止，大部分的研究論文所提出來的DIBR系統都只專注在改善影像的品質，以及減少生成影像當中的假影和幻象，而沒有考慮到視覺疲勞的問題。一般影響人眼視覺不舒服的較大致病因素有:調節輻輳作用衝突，過大的雙眼視差，以及立體影像失真。本論文旨在提供一個舒適度改善的演算法，使用主要物件偵測，深度圖與視差轉換，視差圖調整機制，背景模糊處理有效地改善視覺舒適度，並且盡量減少人眼不舒服的致病因素。

To deliver the multiview videos, the possible transmission format of future 3DTV broadcasting systems could be one monoscopic video plus its associated depth information. Therefore, a high-quality depth-image-based rendering (DIBR) technique is desired at the receiver side to generate multiview contents. So far, most researches focus on how to prevent the synthesized artifacts in DIBR systems, but only a few discuss the issue of visual discomfort. To enhance the comfort 3D visualization, a comfortable DIBR system based on disparity modification and blur operation is presented in this thesis. The former is developed to avoid the accommodation-convergence conflict and excessive binocular disparity, while the latter is designed to deal with the unnatural amounts of blur. Experimental results reveal that by using our proposed methods, the disparity can be adjusted suitably and the blur effect can be modeled well, which will be a great help for existing DIBR systems to generate comfortable 3D videos.

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