Innovative Methods for High Resolution Imaging
Abstract
The investigators report on their findings, recent publication, and presentations in the areas of lenslet array imaging, wavefront encoding, and non-negative matrix factorization for material component (end-member) identification. Lenslet arrays enable a number of imaging modalities, including amplitude diversity, polarization diversity, wavelength diversity (multi-spectral data) and phase diversity. Each of these techniques extends traditional imaging by modifying the data acquisition to implicitly capture features that would otherwise be undetectable. Post-processing converts implicitly captured or encoded information to a form suitable for human or automated identification tasks. The problem of material identification from multi-spectral image data (blind source separation) can be formulated as a non-negative matrix factorization problem or as a tensor factorization problem. Non-uniqueness and numerical stability are frequently difficult issues. We report here on recent progress on using stochastic constraints for improving the numerical stability of the computation. Current (2009) and prior results relating to pupil phase encoding were adapted to mitigate a frequency-agile pulsed laser attack against CCD-based cameras.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 02, 2012
- Accession Number
- ADA570451
Entities
People
- R. J. Plemmons
- T. C. Torgersen
- V. P. Pauca
Organizations
- Wake Forest University