__Relative motion between the camera and the pictured object occurs in various imaging situations, and causes an image quality decrease. The phenomenon of motion blur is common when images are taken using portable or moving systems such as digital cameras, robots, satellites, mobile phones. Common motion types are: uniform velocity motion, accelerated motion, and vibrations. Vibrations usually occur in systems that include circular motion like in an engine, such as imaging systems placed on airplanes or cars.
__In most researches that dealt with restoration of motion degraded images using only the single blurred image, a uniform velocity motion was assumed or an a priori parametric knowledge of the PSF was required.
__The method demonstrated here estimates the blur without an a priori parametric knowledge of the PSF. In this method the identification of the blur is done directly by filtering of the blurred image. The filtering is based on the differences between the properties of images and general properties of the motion blurs. The remaining filtered information characterizes the PSF. The blur is assumed to be one-dimensional. This means that there are no significant changes in the motion direction during the exposure.
__A future plan is an implementation of non-horizontal (chosen) motion direction. Further plans are development for non- one-dimensional motion, and implementation to real motion degraded image inserted by the user.
1. Y. Yitzhaky,
I.Mor, A. Lantzman, and N. S. Kopeika,"Direct method for restoration of motion-blurred images",J. Opt. Soc. Am. A., 15(6), 1512-1519, June 1998.
2. Y. Yitzhaky, G. Boshusha, Y. Levi, and N. S. Kopeika,"Vibrated image restoration from a single frame",Optical Engineering, 38(8), August 2000.