A novel method based on Wiener filter for denoising Poisson noise from medical X-Ray images

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dc.contributor.authorGöreke, Volkan
dc.date.accessioned2024-01-10T06:36:35Z
dc.date.available2024-01-10T06:36:35Z
dc.date.issuedJanuary 2023tr
dc.departmentSivas Meslek Yüksekokulutr
dc.description.abstractBackground and Objective: The Poisson noise is added to the image during the acquisition of medical X-Ray images. The distorted image due to this noise makes it difficult for physicians to diagnose the disease. Although there are various approaches for filtering Poisson noise, these approaches have disadvantages such as excessive smoothing of the image, distorting the texture information, reducing the image quality and high computational cost. In this study, a novel method that removes Poisson noise from medical X-Ray images is proposed by overcoming the above mentioned disadvantages. Methods: In the proposed method, the Wiener filter is modified using the FIR filter embedded in the standard Wiener algorithm. The FIR filter design was carried out using the ASO optimization algorithm. Optimum local mean and optimum local variance values are calculated using the optimization matrix corresponding to the FIR filter coefficients and transferred to the standart Wiener filter layer as parameter inputs. Results: The proposed method showed superior performance in synthetic images and medical X-Ray images in terms of PSNR, MSE, SSIM metrics and image quality metrics such as luminous intensity, Contrast index, Entropy and Sharpness. The time consumption of the proposed method is much less. Conclusions: The clinical usage of the proposed method may help doctors to be able to diagnose the disease more accurately by interpreting the X-ray images. Besides, the proposed method can also have a positive effect on the CAD performance by using it at the pre-processing stage of CAD systems.tr
dc.identifier.scopus2-s2.0-85135928231en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12418/14249
dc.identifier.wosWOS:000848003300009en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıtr
dc.rightsinfo:eu-repo/semantics/openAccesstr
dc.titleA novel method based on Wiener filter for denoising Poisson noise from medical X-Ray imagesen_US
dc.typeArticleen_US

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