A Novel Illumination-Balance Technique for Improving the Quality of Degraded Text-Photo Images

Lee, Jung-San; Chen, Chin-Hao; Chang, Chin‐Chen

doi:10.1109/tcsvt.2009.2017314

Cited by 14 publications

References 11 publications

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Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

Jung

Hasan

Kim

2019

Lecture Notes in Computer Science

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0000−0001−7150−3746] , Muhammad Abul Hasan 2[0000−0002−1297−5054] , and Changick Kim 1[0000−0001−9323−8488]Abstract. In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts. Firstly, a topographic surface of an input digitized document is created using luminance value of each pixel. Then the shading artifact on the document is estimated by simulating an immersion process. The simulation of the immersion process is modeled using a novel diffusion equation with an iterative update rule. After estimating the shading artifacts, the digitized document is reconstructed using the Lambertian surface model. In order to evaluate the performance of the proposed algorithm, we conduct rigorous experiments on a set of digitized documents which is generated using smartphones under challenging lighting conditions. According to the experimental results, it is found that the proposed method produces promising illumination correction results and outperforms the results of the state-of-the-art methods. [Codes available at : https://github.com/seungjun45/Water-Filling]

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