Correcting Photometric Distortion of Document Images on a Smartphone

Christian Simon, Williem Pao, Jihwan Choe, Il Dong Yun, In Kyu Park; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2014, pp. 199-200

Abstract


This paper presents efficient and robust methods for correcting photometric distortion on document images caused by moire pattern noise and specular highlight in smartphone. Our algorithm uses separated smoothing process for moire pattern removal on recaptured document image from LCD monitor. Furthermore, contrast of characters in specular highlight area is enhanced using subtraction and noise removal technique.

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[bibtex]
@InProceedings{Simon_2014_CVPR_Workshops,
author = {Simon, Christian and Pao, Williem and Choe, Jihwan and Dong Yun, Il and Kyu Park, In},
title = {Correcting Photometric Distortion of Document Images on a Smartphone},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2014}
}