Paper
3 October 1998 Image correction via lunar limb knife-edge OTFs
James J. Shea
Author Affiliations +
Abstract
The edge of the mono is used as a high contrast target to perform a visible 'knife-edge' MTF test on a digital imaging system in geostationary orbit. An image of the moon is taken in the camera's normal scanning mode, and traces across the sharpest edge are used to form an edge spread function (ESF). The ESF is then sued to produce an MTF estimate. In a second trial, the imaging system stares as the lunar edge drifts by, creating an edge spread function with a much higher effective spatial sampling rate. In each case, a technique of combining and resampling traces is employed to adapt the knife-edge MTF technique for use with sampled data. The resulting MTF curves track ground test frequencies to within five percent. The phase transfer function is also extracted, and the process is repeated in the north/south direction. The functions are combined to produce a 2D optical transfer function (OTF) which is used as an inverse filter to restore raw images via deconvolution. The approach thus offers a means of testing the MTF and OTF of orbiting image acquisition devices as well as enhancing satellite imagery.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James J. Shea "Image correction via lunar limb knife-edge OTFs", Proc. SPIE 3439, Earth Observing Systems III, (3 October 1998); https://doi.org/10.1117/12.325624
Lens.org Logo
CITATIONS
Cited by 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Modulation transfer functions

Optical transfer functions

Sensors

Imaging systems

Spatial frequencies

Digital imaging

Cameras

RELATED CONTENT

Laboratory validation of a sparse aperture image quality model
Proceedings of SPIE (September 04 2015)
To zoom or not to zoom do we have...
Proceedings of SPIE (September 03 2015)

Back to Top