Infrared Image Processing and Analysis
Abstract
We present a new algorithm for image restoration with application to image spectrometry, combining two radically different techniques: the singular value decomposition (SVD) and the method of projections onto convex sets (POCS). The SVD technique is used to obtain an initial estimate of the unknown image and to establish correspondence between the missing data and the spectral description of the image. The iterative method of convex projections is then applied to the estimate, regaining the missing data by enforcing a sequence of constraints on the reconstructed object. We report results of investigations in the recovered image. We describe an infrared stereo imaging method for the three dimensional target tracking of distant moving point sources. In scenes which are typically lacking in significant features, correspondence between the two camera images is simplified by the application of a triple temporal filter to consecutive frames of data. This filter simultaneously accentuates the target and suppresses background clutter. We apply this stereo tracking technique to experimental range measurements in which the target is tracked with sub-pixel precision.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1998
- Accession Number
- ADA342379
Entities
People
- Andrzej Brodzik
- Elaine Parshall
- Paul Kelley
Organizations
- Tufts University