Metrics for measuring the impact of image processing algorithms on background statistics

Patrick J. Harding; Gordon Arthur; Neil M. Robertson

doi:10.1117/12.800308

10 October 2008 Metrics for measuring the impact of image processing algorithms on background statistics

Patrick J. Harding, Gordon Arthur, Neil M. Robertson

Proceedings Volume 7109, Image and Signal Processing for Remote Sensing XIV; 71090H (2008) https://doi.org/10.1117/12.800308
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

In surveillance and remote sensing applications images are often subject to processing both at the sensor and for display/storage. This paper presents a step towards measuring and understanding how these processes impact on human interpretation of regions of similar statistics within images. The paper describes the methods involved, including image generation, image processing algorithm application, and algorithm impact measurement techniques. A comparison is then made between the impact measurements and human observations. It is suggested that data on mathematical measures of the impact of processing algorithms on statistical regions of images may be usable for intelligent algorithm application.

Citation Download Citation

Patrick J. Harding, Gordon Arthur, and Neil M. Robertson "Metrics for measuring the impact of image processing algorithms on background statistics", Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71090H (10 October 2008); https://doi.org/10.1117/12.800308

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