Application of Fourier-Space Image-Restoration Techniques to Turbulence Compensation and Sparse-Aperture Imaging
Abstract
Image reconstruction is important in any application in which the sensing apparatus or the intervening medium significantly corrupts the recorded data. Deconvolution processes are the oldest and best understood, and for many practical problems Fourier domain deconvolution is the method of choice because acceptable results can usually be obtained with a minimum of computational effort. This report describes two practical applications of the Fourier deconvolution process in which detailed knowledge of the system's instantaneous optical transfer function is effectively utilized. In the first example, speckle imagery is combined with wavefront-sensor data to produce diffraction-limited images of celestial objects; the results are shown to compare favorably with the output of a fully operational adaptive optics system, the second application involves a sparse-aperture collection system that could be incorporated into a lightweight space telescope; this discussion includes an assessment of the practical utility of sparse-aperture receivers in a realistic signal-to-noise environment
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1994
- Accession Number
- ADA285077
Entities
People
- R. R. Parenti
Organizations
- Massachusetts Institute of Technology