Abstract
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.
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