Paper
14 October 2004 Quantifying effects of lossy data compression on animation from geosynchronous imagers
Author Affiliations +
Abstract
Video quality metrics can be used to optimize design of advanced geosynchronous remote sensors by providing a basis for comparing information content of video at different data rates for given video sequences and compression methods and to optimize operation of future remote sensing systems by testing and monitoring quality of data collected by these systems. This paper examines and compares video quality metrics in three broad categories: distortion-based metrics that provide objective performance measures, perception-based metrics that attempt to quantify differences in images that are visible to the human visual system and utility-based metrics that address video quality for specific applications. Candidate figures of merit for describing effects of data compression on quality of video sequences or animation derived from geosynchronous imagers are presented along with recommendations for future work.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffery J. Puschell and Shawn W. Miller "Quantifying effects of lossy data compression on animation from geosynchronous imagers", Proc. SPIE 5548, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective, (14 October 2004); https://doi.org/10.1117/12.562104
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KEYWORDS
Video

Video compression

Imaging systems

Signal to noise ratio

Image compression

Data compression

Distortion

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