Space-Time Vector Quantizing of Color Imagery

用超大规模集成电路实现图像的数字传输被认为是一种非常有效的方法。 这是一个重要的领域，因为可能会减少传输 信息速率服从可接受误差水平。 大部分 到目前为止，研究一直致力于静止图像，或 帧内编码 其他的工作是针对帧间的 编码或运动编码任务。 在这项调查中， （静止）图像编码和帧内（运动）图像编码， 进一步降低比特率的目的是 技术，追求。 本研究涉及矢量量化 这些原则将被扩展到彩色图像和时间 编码 目标是使客观比特率大大降低 比目前的水平。第一个主题涉及扩展最近的工作， 帧内编码到彩色图像和更低的比特率。 编码 通过帧差信号的矢量量化的运动图像， 还提出了沿着一个简单的分类方案来处理 彩色图像的速度大约是现在的三分之一， 对于标准视频会议编码器存在。

Digital transmission of images implemented by VLSI is considered a very important area because of the possible reduction in the transmitted information rate subject to an acceptable level of error. Much of the research to the present time has been devoted to still-picture, or intraframe coding. Other work has been directed towards the interframe coding, or motion coding, task. In this investigation, both intraframe (still) image coding and intraframe (motion) image coding, with an objective of further bit rate reduction below presently known techniques, is pursued. This research involves vector quantization principles which are to be extended to color imagery and to temporal coding. The goal is to make the objective bit rate substantially lower than present levels. The first topic involves extending recent work in intraframe coding to color imagery and to lower bit rates. Coding of motion imagery by vector quantizing of the frame difference signals is also proposed, along with a simple classification scheme to process color imagery at rates of approximately one-third of the rate that now exists for standard videoconferencing coders.