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. The topic of this thesis is to investigate a compression technique by Wavelet compression on the stereo video data. There is much similarity between the parallax videos. This similarity is obtained by a motion compensation technique: the optical flow computing. Optical flow proposed by Horn and Schunck was originally developed in the field of computer vision for the application of moving detection. In this thesis we apply the optical flow to compress the similarity information between the parallax stereo video. On the other hand, the Wavelet transformation has been proved to be a successful technique for multiscale modeling. We therefore applying the Wavelet transform combined with the zerotree compression to compress the fields of optical flow. Experimental results in this thesis have demonstrated different effects in different situations.

The paper proposes that Embedded Zreotree Wavelet algorithm and the architecture of the modified EZW algorithm will have the property of regularity, modularity ,and scalablity, and also posses the function , which can allow a detected watermark to be embedded. The methods to realize the algorithm and the function of watermark are to analyze the theory of algorithm and the order of output and input data and then to use queue and stack, the unit of memory, and the control of circuit. The modified EZW architecture needs a half less memory units than the original one, and functions nearly as effective as the original architecture. Besides, this paper points out that the whole architecture of the transform CODEC system can be applied properly to HDTV, MPEG-4 system, or QoS network.

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