Color Video Digitizing and Display System

该合同用于购买设备以升级视觉实验室，使实验室能够在许多新领域进行研究。该设备支持的研究包括彩色信号的低比特率编码、基于知识的视频特征提取、使用非均匀采样的自适应视频编码、信息保存视频编码器以及用于地震图像解释的高速架构。近年来，在开发具有成本效益的视频系统方面取得了前所未有的进展，这些系统可以提供各种视觉通信服务：视频会议、视频电话、传真传输、高清电视等。这些创新的驱动力之一是强大的信号处理算法的发展，以及为它们优化的快速、廉价的硬件。然而，设计这些系统以经济地运行视频速率仍然是一个技术挑战。地震信号处理涉及的信号带宽比视频信号低，但许多问题是相似的。特别是，两者都必须处理包含数百万个样本的信号，并且都必须使用创新的算法和多处理器实现来高效运行。佐治亚理工学院数字信号处理实验室近二十年来一直致力于数字信号处理及其在语音处理、图像处理和高效数字架构中的应用研究。该奖项支持的所有项目都涉及算法和架构的开发，以便在大量信号上经济地运行。

This award is for the purchase of equipment to upgrade a vision laboratory to enable the laboratory to perform research in a number of new areas. The research that this equipment supports includes research in low bit-rate coding of color signals, knowledge-based video feature extraction, adaptive video coding using non-uniform sampling, information preserving video coders, and high speed architectures for seismic image interpretation. In recent years there has been unprecedented progress in the development of cost effective video systems that can provide a variety of visual communication services: video conferencing, video telephones, facsimile transmission, high definition television,etc. One of the driving forces for these innovations has been the development of powerful signal processing algorithms and fast$and inexpensive hardware optimized for them. It is still a technical challenge, however, to design these systems to operate economically at video rates. Seismic signal processing involves signals with lower bandwidth than video signals, but many of the issues are similar. In particular, both must work with signals containing millions of samples and both must use innovative algorithms and multiprocessor implementations to operate efficiently. The Digital Signal Processing Laboratory at Georgia Tech has been involved in research in digital signal processing and its applications in speech processing, image processing, and efficient digital architectures for nearly twenty years. All of the projects supported by this award are concerned with the development of algorithms and architectures to operate economically on a large number of signals.