A sharpness metric implementation for image processing applications with feedback

Eric P. Lam

doi:10.1117/12.799263

3 September 2008 A sharpness metric implementation for image processing applications with feedback

Eric P. Lam

Proceedings Volume 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII; 70740A (2008) https://doi.org/10.1117/12.799263
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

Eric P. Lam "A sharpness metric implementation for image processing applications with feedback", Proc. SPIE 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII, 70740A (3 September 2008); https://doi.org/10.1117/12.799263

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