Paper
26 June 1996 Algorithms for subpixel edge reconstruction
Stephen K. Park, Mark R. Idema
Author Affiliations +
Abstract
For a staring-array imaging system the location of a scene edge can be reconstructed by digital techniques to a sub- pixel scale even if the image data is blurred, undersampled and noisy. In this paper three algorithms are presented for solving this sub-pixel edge reconstruction problem. The performance of these algorithms is analyzed by extensive model-based simulations using a comprehensive image formation system model that accounts for blurring, noise and sampling.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen K. Park and Mark R. Idema "Algorithms for subpixel edge reconstruction", Proc. SPIE 2753, Visual Information Processing V, (26 June 1996); https://doi.org/10.1117/12.243578
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KEYWORDS
Reconstruction algorithms

Signal to noise ratio

Point spread functions

Imaging systems

Computer simulations

Systems modeling

Performance modeling

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