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The proposed method clarifies the noise in the Lena image and three other test images. It has justified the utilization of operators based on visual clarity obtained. Suitable comparison analysis and efficiency testing is performed on the proposed theory by considering noise types, such as Gaussian, Poisson, and Speckle. In addition, we have also compared the computational efficiency of our proposed method with existing ones. The results show that our approach consumes less memory and executes quicker than the existing methods. A decision-maker can select a more effective operator to segment the images more effectively using the obtained results.<\/jats:p>","DOI":"10.1007\/s40747-022-00718-5","type":"journal-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T06:02:37Z","timestamp":1651039357000},"page":"4911-4937","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["A new method for image processing using generalized linguistic neutrosophic cubic aggregation operator"],"prefix":"10.1007","volume":"8","author":[{"given":"Gagandeep","family":"Kaur","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9099-8422","authenticated-orcid":false,"given":"Harish","family":"Garg","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,27]]},"reference":[{"key":"718_CR1","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. 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