一种恢复离焦图像的新方法

Wei-Wen Wu, Jinying Zhong, Zhi-Yan Wang
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引用次数: 5

摘要

图像退化与许多因素有关。本文首先简要介绍了离焦图像的光学原理,然后讨论了离焦的模型,并介绍了一种计算离焦点扩散函数的有效方法。基于高斯模型和参数估计中散焦的退化,提出了一种基于Lucy-Richardson算法结合Wiener自适应滤波去噪的散焦图像重建方法。仿真结果表明,新方法能取得较好的恢复效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new method for restoration of defocused image
Image degradation is associated with many factors. We first give a brief introduction for the optical theory of defocused image, and then discuss the models of defocusing and introduce an effective way to calculate the PSF (Point Spread Function) of defocus. With the Gaussian model and degradation of defocus in parameter estimation, we propose a new method to reconstruct defocused image, which is based on Lucy-Richardson Algorithm combined with Wiener Adaptive filtering removing the noise. The simulation results show that the new method can achieve good recovery results.
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