在數位動態影像壓縮技術越來越成熟的同時，影像的失真度往往造成了壓縮技術無法在醫學應用上發揮弁遄C釵h非失真之影像壓縮研究只探討了靜態影像，如果要做到非失真動態影像壓縮就必需參考會失真的MPEG壓縮方法，進而改良成為非失真的壓縮技術。
　　非失真壓縮往往是藉由編碼、統計、或是查表等動作以完成壓縮的目的，對於視訊上的壓縮實在有不足的地方。對於連續的視訊來說，相鄰的二張畫面往往是非常相似的，所以利用MPEG中的Motion Estimation來計算畫面移動方向的話，傳遞Motion Vector代替原本的影像才可以做到高壓縮比。
　　在這個研究之中我們RGB三原色為資料進行操作，取代一般在YCrCb色彩空間上的動作，由原始資料進行Motion Estimation、編碼以及傳送，再由軟體解碼端來還原影像。不僅要求與原始資料完全一致，更需要做到減少傳輸量的要求。

　　In the dynamic image compresses technology, distorted of the image can not be used in the medical field. A lot of non-distorted images have compressed and study into the static image. So, the distorted dynamic image technology (MPEG) can be studied and improved the non-distorted compression technology.
　　Non-distorted compression is utilized the encoding statistics or looking for the table to finish the purpose to compressing. But it is insufficient places to the compression on video-information. The continuous video-information is often similar. So, the Motion Estimation is used in MPEG to calculate the picture and moving the direction. Transmitting Motion Vector and replacing the original image can just accomplish the high compression ratio.
　　In this research, three primary colors of our RGB are operated for the data control. Replacing the movements are generally on the color space of YCrCb. The original data can be carried on Motion Estimation, code and conveyed. And then, using the software can decode the image to reduce the original image. Not only require that totally unanimous with the original information, but also need to reduce the request which transmits the data even more.

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