本篇論文提出的整合式解交錯(Integrated De-interlacing)的演算法，可以有效提昇移

動區域的畫面，但是當移動估計不正確時，反而會使移動補償後的畫面變得很差，為了

改善這種情況，因此結合移動可適性解交錯的優點，並將空間圖場內插(Spatial

Interpolation)的方式改成ELA(Edge Line Average)來設計，經過電腦模擬的結果發現，不僅在視覺上提高畫面的解析度，在某些影像峰值訊號雜訊比(Peak Signal Noise Ratio ,

PSNR)也比線平均解交 錯(Line Average De-interlacing)多出好幾分貝的畫質增益。

此外，在整合式解交錯演算法中也增加影片偵測(Film Detection)和影像加強(Image

Enhancement)的演算法設計，在這樣演算法的架構下，透過影片偵測的演算法，我們可

真實地還原3:2 Pull Down 的影片格式，而不會有鋸齒狀(Saw-Toothed)的畫面出現，而影

像加強的演算法，則可以在解交錯後，經過影像的調整，使輸出畫面呈現不同的效果，

達到消費者的需求。-The main theme of this thesis is an integrated de-interlacing system, which incorporates

several known and improved techniques in a nice manner to produce good de-interlaced image

quality. We first develop an accurate motion detector that classifies image regions into

stationary, low-motion, and high-motion categories. The simple field merging method is

applied to the stationary regions. The edge line average interpolation method is applied to the

slow-motion regions. Finally, the motion-compensated interpolation is applied to the

high-motion regions. In addition, hierarchical motion estimation and motion vector smoothing

techniques are employed to enhance the quality of estimated motion vectors. Our computer

simulation shows that the subjective image quality is improved by using the proposed scheme.

Also, its PSNR measures are better than the conventional spatial or temporal interpolation

schemes.