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.
Ait Bella, F. Z., Hakim, M., El Mourabit, I., & Raghay, S. (2023). A $p$-Laplacian model for uneven illumination enhancement of document images. Journal of Mathematical Modeling, 11(1), 157-169. doi: 10.22124/jmm.2022.20993.1834
MLA
Fatim Zahra Ait Bella; Moad Hakim; Idriss El Mourabit; Said Raghay. "A $p$-Laplacian model for uneven illumination enhancement of document images". Journal of Mathematical Modeling, 11, 1, 2023, 157-169. doi: 10.22124/jmm.2022.20993.1834
HARVARD
Ait Bella, F. Z., Hakim, M., El Mourabit, I., Raghay, S. (2023). 'A $p$-Laplacian model for uneven illumination enhancement of document images', Journal of Mathematical Modeling, 11(1), pp. 157-169. doi: 10.22124/jmm.2022.20993.1834
VANCOUVER
Ait Bella, F. Z., Hakim, M., El Mourabit, I., Raghay, S. A $p$-Laplacian model for uneven illumination enhancement of document images. Journal of Mathematical Modeling, 2023; 11(1): 157-169. doi: 10.22124/jmm.2022.20993.1834
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