Estimation of the point spread function of a motion-blurred object from autocorrelation

Tsang-Long Pao; Ming-Dar Kuo

doi:10.1117/12.206656

21 April 1995 Estimation of the point spread function of a motion-blurred object from autocorrelation

Tsang-Long Pao, Ming-Dar Kuo

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206656
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

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.

Citation Download Citation

Tsang-Long Pao and Ming-Dar Kuo "Estimation of the point spread function of a motion-blurred object from autocorrelation", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206656

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