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10 October 2008 Metrics for measuring the impact of image processing algorithms on background statistics
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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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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