This project focuses on the issues involved in wireless transmission of video data and addresses two main issues: video compression and quality of service. The report describes the research experiment, analysis, and results. Researchers compared several compression techniques that are commercially available and recommended wavelet-based compression technique for video compression and network prioritization for issues related to quality of service.
This project researched image compression methods for storage and transmission of digital images at the Minnesota Department of Transportation (Mn/DOT). Researchers compared the performance of several commercial and research methods for image compression based on the "typical" image provided by the Mn/DOT Office of Land Management. They also surveyed some new image compression methods based on wavelet thresholding. The report details the analyses and comparisons and includes recommendations. Researchers chose MrSID, a commercial software package for image compression, as a suitable method for the needs of MnDOT's Office of Land Management. MrSID uses a wavelet transform-based algorithm to achieve both the efficient storage and retrieval of large digital images. Its main practical advantages include improved utilization of storage and transmission resources and a multi-resolution browsing capability. MrSID can selectively decompress a portion of an image by zooming at different levels of detail.