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Pixel’s Quantum Image Enhancement Using Quantum Calculus

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dc.contributor.author Yahya, Husam
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Ibrahim, Rabha W.
dc.contributor.author Al-Saidi, Nadia M.G.
dc.date.accessioned 2024-01-23T13:32:44Z
dc.date.available 2024-01-23T13:32:44Z
dc.date.issued 2023
dc.identifier.citation Yahya, Husam;...et.al. (2023). "Pixel’s Quantum Image Enhancement Using Quantum Calculus", Computers, Materials and Continua, Vol.74, No.2, pp.2531-2539. tr_TR
dc.identifier.issn 15462218
dc.identifier.uri http://hdl.handle.net/20.500.12416/6942
dc.description.abstract The current study provides a quantum calculus-based medical image enhancement technique that dynamically chooses the spatial distribution of image pixel intensity values. The technique focuses on boosting the edges and texture of an image while leaving the smooth areas alone. The brain Magnetic Resonance Imaging (MRI) scans are used to visualize the tumors that have spread throughout the brain in order to gain a better understanding of the stage of brain cancer. Accurately detecting brain cancer is a complex challenge that the medical system faces when diagnosing the disease. To solve this issue, this research offers a quantum calculus-based MRI image enhancement as a pre-processing step for brain cancer diagnosis. The proposed image enhancement approach improves images with low gray level changes by estimating the pixel’s quantum probability. The suggested image enhancement technique is demonstrated to be robust and resistant to major quality changes on a variety of MRI scan datasets of variable quality. For MRI scans, the BRISQUE “blind/referenceless image spatial quality evaluator” and the NIQE “natural image quality evaluator” measures were 39.38 and 3.58, respectively. The proposed image enhancement model, according to the data, produces the best image quality ratings, and it may be able to aid medical experts in the diagnosis process. The experimental results were achieved using a publicly available collection of MRI scans. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.32604/cmc.2023.033282 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Brain Cancer tr_TR
dc.subject BRISQUE tr_TR
dc.subject Image Enhancement tr_TR
dc.subject Image Processing tr_TR
dc.subject MRI tr_TR
dc.subject NIQE tr_TR
dc.subject Quantum Calculus tr_TR
dc.title Pixel’s Quantum Image Enhancement Using Quantum Calculus tr_TR
dc.type article tr_TR
dc.relation.journal Computers, Materials and Continua tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 74 tr_TR
dc.identifier.issue 2 tr_TR
dc.identifier.startpage 2531 tr_TR
dc.identifier.endpage 2539 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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