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Digital images taken in low-light conditions are often affected by poor contrast and pixel detail, leading to uncertainty. Although various fuzzy based techniques have been proposed for low-light image enhancement, there remains a need for a model that can manage greater uncertainty while providing better structural information. To address this, an interval-valued intuitionistic fuzzy generator is proposed to develop an advanced low-light image enhancement model for referenced image datasets. The enhancement process involves a structural similarity index measure (SSIM) based optimization approach with respect to the parameters of the generator. For experimental validation, the Low-Light (LOL), LOLv2-Real and LOLv2-Synthetic benchmark datasets are utilized. The results are compared with several existing techniques using quality metrics such as SSIM, peak signal-to-noise ratio, absolute mean brightness error, mean absolute error, root mean squared error, blind\/referenceless image spatial quality evaluator and naturalness image quality evaluator, demonstrating the superiority of the proposed model. Ultimately, the model\u2019s performance is benchmarked against state-of-the-art methods, highlighting its enhanced efficiency.<\/jats:p>","DOI":"10.1007\/s10462-025-11138-5","type":"journal-article","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T07:10:21Z","timestamp":1740381021000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Interval-valued intuitionistic fuzzy generator based low-light enhancement model for referenced image datasets"],"prefix":"10.1007","volume":"58","author":[{"given":"Chithra","family":"Selvam","sequence":"first","affiliation":[]},{"given":"Dhanasekar","family":"Sundaram","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,24]]},"reference":[{"issue":"4","key":"11138_CR1","doi-asserted-by":"crossref","first-page":"3109","DOI":"10.1007\/s11760-023-02974-5","volume":"18","author":"Z Al-Ameen","year":"2024","unstructured":"Al-Ameen Z (2024) Adapted type-II fuzzy algorithm to process images with non-uniform illumination. 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