DeepOtsu: Document enhancement and binarization using iterative deep learning
作者： Sheng He , Lambert Schomaker
DOI: 10.1016/J.PATCOG.2019.01.025
关键词:
摘要: This paper presents a novel iterative deep learning framework and applies it to document enhancement and binarization. Unlike the traditional methods that predict the binary label of …
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Dongjin Song, Wei Liu, Tianyi Zhou, Dacheng Tao, David A. Meyer, Efficient Robust Conditional Random Fields IEEE Transactions on Image Processing. ,vol. 24, pp. 3124- 3136 ,(2015) , 10.1109/TIP.2015.2438553
Wayne Niblack, An introduction to digital image processing ,(1986)
Philipp Fischer, Thomas Brox, None, U-Net: Convolutional Networks for Biomedical Image Segmentation medical image computing and computer assisted intervention. pp. 234- 241 ,(2015) , 10.1007/978-3-319-24574-4_28
Jonathan Long, Evan Shelhamer, Trevor Darrell, Fully convolutional networks for semantic segmentation computer vision and pattern recognition. pp. 3431- 3440 ,(2015) , 10.1109/CVPR.2015.7298965
Reza Farrahi Moghaddam, Mohamed Cheriet, Low quality document image modeling and enhancement International Journal on Document Analysis and Recognition. ,vol. 11, pp. 183- 201 ,(2009) , 10.1007/S10032-008-0076-2
Hossein Ziaei Nafchi, Seyed Morteza Ayatollahi, Reza Farrahi Moghaddam, Mohamed Cheriet, An Efficient Ground Truthing Tool for Binarization of Historical Manuscripts international conference on document analysis and recognition. pp. 807- 811 ,(2013) , 10.1109/ICDAR.2013.165
A. Tonazzini, Color space transformations for analysis and enhancement of ancient degraded manuscripts Pattern Recognition and Image Analysis. ,vol. 20, pp. 404- 417 ,(2010) , 10.1134/S105466181003017X
Reza Farrahi Moghaddam, Mohamed Cheriet, A Variational Approach to Degraded Document Enhancement IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 32, pp. 1347- 1361 ,(2010) , 10.1109/TPAMI.2009.141
Hossein Ziaei Nafchi, Reza Farrahi Moghaddam, Mohamed Cheriet, Phase-Based Binarization of Ancient Document Images: Model and Applications IEEE Transactions on Image Processing. ,vol. 23, pp. 2916- 2930 ,(2014) , 10.1109/TIP.2014.2322451
Rachid Hedjam, Mohamed Cheriet, Historical document image restoration using multispectral imaging system Pattern Recognition. ,vol. 46, pp. 2297- 2312 ,(2013) , 10.1016/J.PATCOG.2012.12.015