A $p$-Laplacian model for uneven illumination enhancement of document images

Document Type : Research Article


1 Cadi Ayyad University, LAMAI FST Marrakech, Morocco

2 Cadi Ayyad University, EST Essaouira, Morocco


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.