Abstract

Many photographic systems are located on moving platforms. Because of mechanical vibrations that exist on those platforms, the photographed image is distorted. To avoid those distortions requires that very complicated mechanical attenuators be used. We suggest an optoelectronic image-processing algorithm to overcome the distortions caused by such vibrations. The algorithm for different types of vibration is reformulated in an exact manner, as opposed to the reformulations of previously known calculations. Furthermore, new types of vibration are explored. The algorithm is fully computerized and thus avoids the need for attenuating devices.

© 1999 Optical Society of America

General restoration filter for vibrated-image restoration

Adrian Stern and Norman S. Kopeika
Appl. Opt. 37(32) 7596-7603 (1998)

Enhanced-resolution image restoration from a sequence of low-frequency vibrated images by use of convex projections

Adrian Stern, Yoav Porat, Avner Ben-Dor, and Norman S. Kopeika
Appl. Opt. 40(26) 4706-4715 (2001)

Comparison of direct blind deconvolution methods for motion-blurred images

Yitzhak Yitzhaky, Ruslan Milberg, Sergei Yohaev, and Norman S. Kopeika
Appl. Opt. 38(20) 4325-4332 (1999)

Motion-distorted composite-frame restoration

Adrian Stern and Norman S. Kopeika
Appl. Opt. 38(5) 757-765 (1999)

Optical transfer function analysis of images blurred by nonharmonic vibrations characterized by their power spectrum density

A. Stern and N. S. Kopeika
J. Opt. Soc. Am. A 16(9) 2200-2208 (1999)