New method of compensation the out-of-focus defect introduced by the optical system of a micro-camera

H. Ghennioui, Mohamed El-Kamili
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Abstract

This work addresses the problem of the out-of-focus defect introduced by the optical system of a micro-camera. We present a new image deblurring technique: it combines a new out-of-focus blur estimation with the modified Wiener filter. The proposed technique consists then of two steps. The first one allows to estimate the point-spread-function of the optical system by the iterative Newton-Raphson algorithm, however the second one consists to recover the image by the modified Wiener filter: the classical Wiener filter is adjusted by using the proposed blur measurement metric. The main advantage of the proposed technique is that it's no-reference (the blur measurement doesn't need the original image as reference and the deblurring image algorithm is blind). Computer simulations are provided in order to illustrate the effectiveness of the proposed approach. A comparison with a classical Wiener filter is also performed, emphasizing the good behavior of the proposed method.
一种补偿微相机光学系统失焦缺陷的新方法
本文解决了微相机光学系统的失焦缺陷问题。提出了一种新的图像去模糊技术:将一种新的失焦模糊估计与改进的维纳滤波相结合。所建议的技术包括两个步骤。第一种方法是利用迭代牛顿-拉夫森算法估计光学系统的点扩展函数,第二种方法是利用改进的维纳滤波器对图像进行恢复:利用提出的模糊测量度量对经典维纳滤波器进行调整。该技术的主要优点是无参考(模糊测量不需要原始图像作为参考,图像去模糊算法是盲的)。计算机仿真说明了所提方法的有效性。并与经典维纳滤波器进行了比较,强调了该方法的良好性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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