A study on images and videos compression for terminals with narrow band width

研究了基于矢量量化（VQ）的图像和视频编码算法。算法适用于计算能力小、通信带宽窄的通信终端。所开发的算法使这种通信终端能够实时发送和接收图像和视频。在之前的研究中，由于我们对灰度图像实现了可变块大小的VQ，因此本项目研究了彩色图像的VQ。将可变块大小的VQ应用于视频编码，并在工程中得到了验证。一种实时播放视频的流媒体技术正在开发中。

We studied coding algorithms for images and videos based on vector quantization (VQ). Algorithms are useful for communication terminals for which not only the computational ability is small but also the communication band width is narrow. The developed algorithms make such communication terminals enable to transmit and to receive images and videos in real time. In previous studies, since we implemented VQ with variable block size for gray scale images, VQ for color images investigated in this project. Furthermore, VQ with variable block size was applied to video coding and its usefulness was confirmed in the project. A streaming technology for real time paly of videos is developing.