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Digital Radiography Images Restoration with Wiener Filter in Wavelet Domain  

Jeong, Jae-Won (Department of Biomedical Engineering, Yonsei Univ.)
Kim, Dong-Youn (Department of Biomedical Engineering, Yonsei Univ.)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.46, no.6, 2009 , pp. 58-64 More about this Journal
Abstract
Digital radiography (DR) images are corrupted by the additive noise, and also distorted by system impulse response. These unwanted phenomena are obstacles to obtain the desired image. To recover the original image, we applied multiscale Wiener filters in wavelet domain for DR images. The multiscale Wiener filter is first proposed by Chen for the restoration of fractal signals which are distorted by the system impulse response and additive noise. In this paper, we extended the multiscale Wiener filter to the two dimensional data. To compare the performance of ours with others, some simulations are given for a couple of wavelet filters with different wavelet levels, system impulse reponses and various noise power. When the addive noise powers are between 20-32 dB, the signal to noise ratio(SNR) of the proposed system is 0.5-2.0 dB better than that of the traditional Wiener filter method.
Keywords
DR image; Restoration; Undecimated Wavelet; Wiener filter;
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