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Proceedings Paper

Estimation of the point spread function of a motion-blurred object from autocorrelation
Author(s): Tsang-Long Pao; Ming-Dar Kuo
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Paper Abstract

The ultimate goal of image restoration is to recover a degraded image utilizing the digital image processing techniques. Image degradations may be in the form of sensor noise, blur due to camera misfocus, relative object-camera motion, and so on. However, the quality of restored results is closely related to the accuracy in estimating the degradation function, which is termed the point spread function (PSF). In this paper, a procedure that can be used to determine the PSF for a motion degraded image is presented. The method is to extract a block of blurred edge from the degraded image, and estimate the PSF from the autocorrelation of that area. The results of applying the proposed procedure to some motion blurred images are presented and the performance is discussed.

Paper Details

Date Published: 21 April 1995
PDF: 8 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206656
Show Author Affiliations
Tsang-Long Pao, Tatung Institute of Technology (Taiwan)
Ming-Dar Kuo, Tatung Institute of Technology (Taiwan)


Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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