Proceedings Paper
Algorithms for subpixel edge reconstruction| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 26 June 1996
PDF: 12 pages
Proc. SPIE 2753, Visual Information Processing V, (26 June 1996); doi: 10.1117/12.243578
Published in SPIE Proceedings Vol. 2753:
Visual Information Processing V
Richard D. Juday; Stephen K. Park, Editor(s)
PDF: 12 pages
Proc. SPIE 2753, Visual Information Processing V, (26 June 1996); doi: 10.1117/12.243578
Show Author Affiliations
Stephen K. Park, College of William & Mary (United States)
Mark R. Idema, College of William & Mary (United States)
Published in SPIE Proceedings Vol. 2753:
Visual Information Processing V
Richard D. Juday; Stephen K. Park, Editor(s)
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