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Proceedings Paper

Finite band-depth information extraction
Author(s): Kristo S. Miettinen; Joseph G. Bailey
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Paper Abstract

We present a system for extraction of information bands from imagery that combines properties of subband/wavelet decomposition and factor analysis to achieve uniform presentations of ground truth from a variety of sensor inputs. Some unique information-regularizing features of the system are invariance to scaling, sorting, and skewing of the input data, as well as robustness to blurring or sharpening, nonlinear intensity remapping, and to the differences between literal and non-literal input imagery. These features enhance both visual interpretability of an RGB color image and machine exploitability of regularized information bands.

Paper Details

Date Published: 3 April 2000
PDF: 12 pages
Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); doi: 10.1117/12.381627
Show Author Affiliations
Kristo S. Miettinen, Eastman Kodak Co. (United States)
Joseph G. Bailey, Eastman Kodak Co. (United States)

Published in SPIE Proceedings Vol. 4051:
Sensor Fusion: Architectures, Algorithms, and Applications IV
Belur V. Dasarathy, Editor(s)

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