Realization of quantum mean filters with different sized on NEQR quantum images by QFT based operations

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dc.contributor.authorŞahin, Engin
dc.date.accessioned2025-05-29T05:37:23Z
dc.date.available2025-05-29T05:37:23Z
dc.date.issued2023
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractFor some image processing algorithms such as edge detection and segmentation, filtering in the spatial domain is an important pre-processing to improve the quality of the image by removing the noise in the images. The time and memory requirements for processing also increase as the size of the images increases. Besides, excessive blurring of the image during noise removal operation can lead to excessive deterioration of image quality. Therefore, the balance between noise reduction and blur needs to be well adjusted. In this paper, a new quantum method for noise reduction on quantum images using QFT-based arithmetic operators is proposed and quantum circuits are designed. Mean filtering operators of different sizes are used to remove noise. First, the classical image is represented by the gray scale quantum image model, the novel enhanced quantum representation (NEQR) model. A quantum method is proposed and circuits are presented for the realization of Mean filters of different sizes on the basis of addition and division operations. Finally, the performance of the method is evaluated by presenting the circuit complexity of the method and the experimental results. In the proposed method, it is aimed to use less resources and reduce the circuit complexity. The optimal filtering operator size is investigated for the balance between noise reduction and image blur.
dc.identifier.doi10.55859/ijiss.1210521
dc.identifier.issn2147-0030
dc.identifier.issue1
dc.identifier.startpage12-Jan
dc.identifier.urihttps://doi.org/10.55859/ijiss.1210521
dc.identifier.urihttps://hdl.handle.net/20.500.12428/31725
dc.identifier.volume12
dc.institutionauthorŞahin, Engin
dc.language.isoen
dc.publisherŞeref SAĞIROĞLU
dc.relation.ispartofInternational Journal of Information Security Science
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250529
dc.subjectquantum computing
dc.subjectquantum image processing
dc.subjectnoise reduction
dc.subjectimage smoothing
dc.subjectmean filter
dc.titleRealization of quantum mean filters with different sized on NEQR quantum images by QFT based operations
dc.typeResearch Article

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