Comparison of different de-noising techniques for removal of poison noise from cervical X-Rays images

Digital X ray images normally suffer from poor quality and one of the main reason is the presence of poison noise which is added in X rays images during acquisition process. Different de-noising techniques have been presented in literature for enhancement of x ray images. This paper presents a comparative study for extraction of noise from X-Rays images. The comparison has been done for bilateral filtering, Dual Tree Complex Wavelet Transform, Gaussian filter, Wiener filter and Non-Local Mean filters and evaluation of these techniques have been done using cervical X-Ray images from NHANES-II database. The significance of each technique has been evaluated using different performance measures.