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Proceedings Paper

A sharpness metric implementation for image processing applications with feedback
Author(s): Eric P. Lam
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Paper Abstract

Some image processing applications require an image meet a quality metric before processing it. If an image is too degraded such that it is difficult or impossible to reconstruct, the input image may be discarded. In this paper, we present a metric that measures the relative sharpness with respect to a reference image frame. The reference frame may be a previous input image or an output frame from the system. The sharpness metric is based on analyzing edges. The assumption of this problem is that input images are similar to each other in terms of observation angle and time.

Paper Details

Date Published: 3 September 2008
PDF: 10 pages
Proc. SPIE 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII, 70740A (3 September 2008); doi: 10.1117/12.799263
Show Author Affiliations
Eric P. Lam, Thales Raytheon Systems (United States)

Published in SPIE Proceedings Vol. 7074:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII
Franklin T. Luk, Editor(s)

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