Image Restoration Simulation of Digital X-ray Images Based upon Filtering Techniques and the Quality Evaluation of the Restored Images
Soyoung Lee, Seong Il Choi, Ji Eun Oh, Hee-Moon Cho, Sung-Ju Lee, Yeon-Ok Park, Hyo-Sung Cho · 2008
Images acquired by a digital X-ray imaging system are inherently degraded due to system degradation process and additive noise sources. The system degradation in image quality is typically described as the system response function characterized by the modulation transfer function (MTF) and the noise term described as the noise power spectrum (NPS). In this case, we can restore the blur image as close as possible to the original image by using modified filtering designed for digital imaging system, as we know more precisely about the MTF and the NPS. In this paper, by performing simulation, we tried to restore blurred images taken from a digital X-ray imaging system based upon conventional filtering techniques such as a direct-inverse filtering, limited-inverse filtering, or a Wiener filtering, and evaluated the characteristics of the image restoration.