Abstract
Quality enhanced digital images using deblurring and restoration techniques plays vital role in many fields of medical applications, security related surveillances, remote sensing and satellite communications and defense sector. Use of X ray images is done extensively in medical field for diagnostic purpose which has become a backbone for medical practitioners. Quality images without any blur or noise therefore becomes an important tool for diagnosis which leads to use of image processing for improvement of the captured X ray images but were defocused while actual capturing. This paper elaborates about the findings achieved after restoration of Orthopantomographic X ray defocused image used in dental application. This research work emphasizes two techniques as blind and non-blind deconvolution used for the restoration of Orthopantomographic X-ray which is captured for the diagnosis related to growth and development monitoring of pediatric teeth. The results after deconvolution are compared to understand one of the unaddressed problems normally present as no previous information of point spread function for blind technique as compared with non-blind technique. It was observed that deconvolution techniques applied to defocused image restoration are helpful in further usage in dental applications as well as in the field of machine learning and digital image processing. At the end, simulated results of this work are compared using different image parameters like structural similarity index (SSIM). Further the performance of these deconvolution methods is compared and results are represented graphically for better understanding and usage in the field of image processing.
Published Version
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