Adaptive shock-diffusion model for restoration of degraded document images |
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| Institution: | 1. Department of Engineering Mechanics, Northwestern Polytechnical University, Xi''an 710129, PR China;2. MIIT Key Laboratory of Dynamics and Control of Complex Systems, Northwestern Polytechnical University, Xi''an 710129, PR China;1. School of Computer Science and Applied Mathematics, University of the Witswatersrand, Johannesburg, Private Bag 3, Wits 2050, South Africa;2. DST-NRF Centre of Excellence in Mathematical and Statistical Sciences (CoE-MaSS), University of the Witwatersrand, Johannesburg, Private Bag 3, Wits 2050, South Africa;1. Department of Computer Science and Engineering, University of Ioannina, Greece;2. Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, GR-15310 Athens, Greece;1. The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing 100190, China;2. University of Chinese Academy of Sciences, China |
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| Abstract: | This paper presents an adaptive enhancement model with selective smoothing for restoration of degraded document images with blur, noise and bleed-through, which involves adaptive shock filtering and selective diffusion processes. A novel hybrid scheme is developed to solve the proposed model numerically, which combines explicit finite difference and exponential smoothing. Numerical experiments show that the proposed model is very effective for restoration of degraded document images with blur, noise and bleed-through, and has averagely the best performance on the DIBCO (Document Image Binarization Competition) series datasets, compared to five PDE (partial differential equation)-based models for restoration of degraded document images. |
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