Primary and Secondary Superresolution by Data Inversion (preprint)
Abstract
Superresolution by data inversion is the extrapolation of measured Fourier data to regions outside the measurement bandwidth using postprocessing techniques. Here we characterize superresolution by data inversion for objects with finite support using the twin concepts of primary and secondary superresolution, where primary superresolution is the essentially unbiased portion of the superresolution data and secondary superresolution is the remainder. We show that this partition of superresolution into primary and secondary components can be used to explain why some researchers believe that meaningful superresolution is achievable with realistic signal-to-noise ratios, and other researchers do not.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 06, 2005
- Accession Number
- ADA471990
Entities
People
- Charles L. Matson
- David W. Tyler
Organizations
- Air Force Research Laboratory