立體影片的傳輸流程在立體視覺的應用上是重要的一環，例如在網路上播放立體影片時，必須藉由傳輸的過程，才可以讓使用者觀看到立體影片。在此論文中，我們主要探討紅藍立體影片的傳輸方式。傳統的做法是將影片中每張幀的色彩通道予以壓縮，因而整體傳輸的效能較差。在本篇論文中，我們提出兩種改善的傳輸流程。在第一種方法中，由於我們使用的是紅藍立體影像，我們提出只需針對合成紅藍立體影像中的色彩通道部分進行壓縮，此方法可比傳統方法減少所需壓縮色彩通道的一半。而在第二種方法中，我們藉由將去馬賽克的部分由前處理的階段移到後處理的階段中，達到減少所需壓縮的資料量，並且為了克服還原立體影片的品質不佳，我們提出一種新穎的去馬賽克方法，利用梯度的局部立體匹配方法和空間及時間上的去馬賽克的方法來改進輸出立體影片的品質。實驗結果顯示，此二種方法可以大幅改善傳統立體影片的傳輸效率。

Stereo video streaming is a very important topic since stereo video is more and more popular in recent years. In this thesis, we consider the stereo video streaming of anaglyph class which displays the red component of the left view and green/blue components of the right view. In traditional anaglyph streaming system, it transmits all RGB components of both left and right views and results in consuming a lot of bandwidth. In this thesis, we present two novel solutions to improve the traditional anaglyph streaming system. For the first proposed method, we transmit the only components that will be viewed by the users and we rearrange the data format to satisfy the standard video compression algorithm. For the second method, we propose to perform video demosaicing in the post-processing stage instead of in the traditional pre-processing stage. In addition, we develop a gradient-based stereo matching technique that is integrated with the proposed demosaicing algorithm. Experimental results show that the proposed anaglyph video streaming system outperforms several state-of-the-art algorithms in both objective and subjective comparisons.

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