本篇論文中，我們首先提出了一個節省位元率的對稱式混合解析度立體視訊編碼模型，它可以減緩在非對稱解析度立體視訊編碼模型上，長期觀看可能會引起視覺不舒適的問題。接著我們在對稱式混合解析度立體視訊編碼模型上提出一個植基於多樣本式的高品質超解析度方法，在所提方法中使用了四個集合的區塊當作多樣本區塊，分別由前一張關鍵畫面、後一張關鍵畫面、前一張超解析度畫面以及視角間超解析度畫面所組成，其相關的高頻資訊可以被混合來補償當前畫面所缺的高頻資訊，以達到更好的超解析度畫面品質。實驗結果說明我們所提的超解析度方法在對稱式混合解析度立體視訊編碼模型上與三種先進的超解析度方法在非對稱解析度立體視訊編碼模型以及三種先進的超解析度方法在對稱式混合解析度立體視訊編碼模型上相比，在品質及位元率上皆有較佳的效果。

In this thesis, we first propose a new bitrate-saving symmetric mixed resolution stereoscopic video coding (SMRSVC) model which can alleviate the visual uncomfortable problem appearing in the asymmetric resolution stereoscopic video coding model (ARSVC). Secondly, we propose a modified quality-efficient multiple-example based super-resolution method for the SMRSVC and the proposed method utilizes multiple examples in the forward and backward key-frames, the reference super-resolved frame, and the interview super-resolved frame to super-resolve the current block in the non-key-frame. The corresponding multiple high-frequency information provided by the four examples are fused to compensate the super-resolved result in order to achieve better quality. Based on six test stereoscopic video sequences, experimental results demonstrate the quality-efficient and bitrate-saving merits of the proposed super-resolution method for the proposed SMRSVC when compared with the three state-of-the-art super-resolution methods based on the ARSVC model and the three state-of-the-art super-resolution methods based on the SMRSVC model.

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