由於立體影片有著高品質的視覺效果，近幾年來，關於這方面的研究課題已受到許多的重視。然而，如何處理與儲存龐大的資料容量，為立體視訊應用的問題之一。立體視訊的視差之間存在著許多相似的資料，應用形態補償的技術來計算找出這相似的資料進而處理立體影像的資料壓縮問題是本論文探討研究的目的。

論文中利用數種形態運算對圖片中的物體形狀做一轉換。本研究在於將空間型態或物體結構裡的一個影像加以修改。形態運算常應用於黑白影像處理，在選擇最佳形態濾波器時會發生兩個問題：候選濾波器的組合以及選民來源。對於灰階影像而言，濾波器的遮罩運算將變的更為複雜，然而藉由切片的傘狀架構方法，灰階的遮罩形態運算將相較於一般的灰階形態運算來得更有效率。

由論文的研究結果證明在右序列影像上形態補償較動態補償更有效率。

The topic of stereo video is getting more attention among these days due to its high quality of visual effect. However, the large volume of data is the problem of its application. There is much similarity between the parallax videos. This similarity is obtained by a shape compensation technique. The topic of this thesis is to investigate a compression technique by on the shape compensation stereo video data.

The shape transformation in this paper is coded by the kinds of morphological operations to be applied. This processing is a type of operation by which the spatial form or structure of objects within an image are modified. Morphological operation is usually applied to the binary images. There are two problems for the selection of the optimal morphological filter: the collection of the candidate filters and the sources of the voters. For the gray level images the mask operation is changed to be the more complex window weighting operation. By a strategy of slicing the image umbrella, our masked gray morphological operation is also more computation-efficient than the regular gray morphological operation.

Experimental results in this thesis have demonstrated that shape compensation is more efficient than motion compensation for the secondary (right) video sequence.

目錄
第 一 章 引 言 1
第 二 章 一般原理回顧--MPEG、立體成像 4
2-1 MPEG簡介 4
2-2 MPEG-1的視訊壓縮原理 5
2-3 立體成像簡介 11
2-4透視轉換立體成像的原理 12
第 三 章 形態濾波器與形態補償之介紹 18
3-1 簡介 18
3-2形態運算介紹 18
3-2-1基本運算的定義 18
3-2-2 影像之擴張運算 19
3-3 最佳濾波器之決定 20
3-3-1 背景觀念 21
3-3-2 建立機率表 23
3-3-3利用機率表選擇最佳濾波器 24
3-3-4 實際例子說明 26
3-4 形態補償 29
3-4-1 簡介 29
3-4-2 二階形態補償 30
3-4-3 灰階形態補償 32
3-4-4 減少濾波器的做法 36
第 四 章 系統實現 40
4-1簡介 40
4-2製作右眼序列預測圖 42
4-3右序列影像編碼 43
4-4右序列影像解碼 44
4-5立體影像之顯像 45
第 五 章 實驗結果與分析 46
5-1 簡介 46
5-2製作立體影像 47
5-2-1編解碼過程 47
5-2-2 結果與分析 50
5-3其他方法結果與討論 57
5-3-1 右序列影像處理流程 57
5-3-2 結果與分析 60
5-4實驗結果與討論 68
第六章 結論 70
參考文獻 71

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