Paper
5 July 1994 Restoration of images degraded by mechanical vibrations
Author Affiliations +
Abstract
A method of calculating numerically the optical transfer function appropriate to any type of image motion and vibration, including random ones, has been developed. This method has been verified experimentally, and the close agreement justifies implementation in image restoration for blurring deriving from any type of image motion. The goal of this research is to recover the original image from its degraded version. There are many methods of image restoration based on the point spread function. One of the common methods is the Wiener filter. Here, some image restorations of synthetic degradation and physically degraded images are presented, based on a constrained least squares improvement of the original Wiener filter. The key to restoration is determination of the optical transfer function unique to each particular image motion and vibration.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ofer Hadar, Z. Adar, A. Cotter, Yitzhak Yitzhaky, and Norman S. Kopeika "Restoration of images degraded by mechanical vibrations", Proc. SPIE 2221, Acquisition, Tracking, and Pointing VIII, (5 July 1994); https://doi.org/10.1117/12.178953
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Cited by 1 scholarly publication.
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KEYWORDS
Image restoration

Optical transfer functions

Image processing

Electronic filtering

Image filtering

Point spread functions

Cameras

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