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A $p$-Laplacian model for uneven illumination enhancement of document images | ||
Journal of Mathematical Modeling | ||
دوره 11، شماره 1، خرداد 2023، صفحه 157-169 اصل مقاله (2.95 M) | ||
نوع مقاله: Research Article | ||
شناسه دیجیتال (DOI): 10.22124/jmm.2022.20993.1834 | ||
نویسندگان | ||
Fatim Zahra Ait Bella* 1؛ Moad Hakim1؛ Idriss El Mourabit2؛ Said Raghay1 | ||
1Cadi Ayyad University, LAMAI FST Marrakech, Morocco | ||
2Cadi Ayyad University, EST Essaouira, Morocco | ||
چکیده | ||
The exponential growth of low-cost digital imagery is latterly observed. Images acquired under uneven lighting are prone to experience poor visibility, which may severely limit the performance of most computational photography and automatic visual recognition applications. Different from current optimization techniques, we design a novel partial differential equation-based model to rectify the variable illumination artifacts. In this study, a large number of document samples capturing uneven illumination and low contrast conditions are tested to compare the effectiveness of the proposed local and nonlocal approaches. | ||
کلیدواژهها | ||
Document image processing؛ illumination correction؛ nonlinear diffusion؛ nonlocal $p$-Laplacian | ||
آمار تعداد مشاهده مقاله: 254 تعداد دریافت فایل اصل مقاله: 304 |