本研究中提出以離散小波轉換理論，採用One-pass零樹編碼之影像壓縮技術，運用於多通道監視系統中，目的在提供好的壓縮品質情況下、提高壓縮倍率同時縮短壓縮時間。另外，還提供了感興趣區域（ROI）壓縮，讓使用者來設定不同壓縮率進行編碼，增進了儲存空間及傳輸時間的彈性。在環境監控方面，利用其小波影像之多解析度的特性，於小波轉換域的低頻部份進行即時的動態偵測動作，可以減少運算量及光線及雜訊的影響。本系統包括數位影像的輸入及輸出部分，透過TCP/IP通訊協定進行Client/Server的網路溝通，當畫面有異物侵入時，自動啟動Alarm-Trigger，最後本系統於WINDOWS平台下以Borland C++ Builder來實現。

In this paper, we propose a low-complexity zerotree compression technique to multi-channel surveillance systems. Our aims are to decrease the compression time, to raise the compression ratio and to improve the compression quality. Under the developed environment, users can setup different compression ratio, according to different users’ Internet condition, to raise the flexibility of transmitting time and storage space. On the motion detection side, we use the multi-resolution feature of wavelet image on the lower frequency to make the immediate motion detection for lowering the computation complexity and the effect of light and noise. This system, including the input and output of digital image, conducts the Internet communication of Client/ Server through TCP/IP protocol. The system will automatically start Alarm-Trigger when unusual item is detected. Finally, this system is programmed with Borland C++ Builder.

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