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