由於數位檔案容易被竊取、竄改、偽造或複製，使得資料隱藏技術於資訊安全領域中是十分熱門的研究議題。然而用於立體視訊的資料隱藏技術還未成熟，雖然可直接應用現有的可逆式資料隱藏技術，但是在未將偽裝影像回復成掩護影像前進行彩現化，會產生視覺上可見的破綻，讓人察覺影像可能有隱藏資訊。此外，尚未有應用在深度影像的隱藏技術，本篇論文即是針對立體視訊提出植基於深度影像的可逆式資料隱藏技術。在提出的方法中，我們會將植入訊息後的深度值控制在深度合成無錯模型的合法範圍內，使偽裝影像不會在彩現化的過程產生任何失真。

This thesis presents a novel reversible data hiding method, based on the depth no-synthesis-error (D-NOSE) model, for depth maps. The virtual view generated using the marked depth map is identical to the one using the original depth map. The proposed method can achieve substantially high embedding capacity due to the hiding flexibility provided by the D-NOSE model and the characteristics of the depth maps. Experimental results demonstrate that the proposed method achieves better performance than the existing state-of-the-art methods in terms of both quantitative and qualitative measures.

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