Paper
3 April 2000 Finite band-depth information extraction
Kristo S. Miettinen, Joseph G. Bailey
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kristo S. Miettinen and Joseph G. Bailey "Finite band-depth information extraction", Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); https://doi.org/10.1117/12.381627
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Cited by 1 scholarly publication.
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KEYWORDS
Image fusion

Factor analysis

RGB color model

Sensors

Image processing

Image sensors

Image resolution

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