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论文类型：期刊论文

发表时间：2022-06-30

发表刊物：光学学报

期号：8

页面范围：1045-1050

ISSN号：0253-2239

摘要：A modified Wiener filtering method for image restoration of the ring-coded aperture images in inertial confinement fusion (ICF) is presented. In traditional Wiener filtering method, the signal-to-noise ratio of spectral density has to be replaced with a constant parameter, which overlooks the spectral information of the underlying image and noise because the spectra are a priori unknown, and consequently the filtered result may lose some important details with inadequate resolution. In order to overcome this drawback, the authors propose an approach to exploit the spectral information. In the new method, the traditional Wiener filter is used at first to obtain the initial estimate of the target image, based on which the spectral densities of the target image and noise image are estimated. Then by using this information a new Wiener filter is reconstructed that is used to filter the coded image again to obtain an improved result. The validity of the new method is confirmed by the experimental results: for simulations, the mean square errors are decreased more than 15%, and for practical ICF images, the restoration results are improved significantly compared with the results obtained by using the traditional Wiener filters. The approach can also be applied to other image restoration problems such as that the point spread functions are known.

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