Title :
Correcting Photometric Distortion of Document Images on a Smartphone
Author :
Simon, Carsten ; Williem ; Choe, Jong-Ho ; Il Dong Yun ; In Kyu Park
Author_Institution :
Dept. of Inf. & Commun. Eng., Inha Univ., Incheon, South Korea
Abstract :
This paper presents efficient and robust methods for correcting photometric distortion on document images caused by moir´e pattern noise and specular highlight in smartphone. Our algorithm uses separated smoothing process for moir´e 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.
Keywords :
document image processing; image denoising; photometry; smoothing methods; LCD monitor; moir´e pattern noise; moir´e pattern removal; noise removal technique; photometric distortion; recaptured document image; separated smoothing process; smartphone; Accuracy; Bismuth; Conferences; Educational institutions; Noise; Optical character recognition software; Robustness;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
DOI :
10.1109/CVPRW.2014.38