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Digitized documents such as scientific articles, tax forms, invoices, contract papers, historic texts are widely used nowadays.
Handwritten-word spotting using biologically inspired features
Van der Zant, T., Schomaker, L., and Haak, K · 1957
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Adaptive document image binarization
Sauvola, J., and Pietikäinen, M · 2000
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Distance-reciprocal distortion measure for binary document images
Lu, H., Kot, A. C., and Shi, Y. Q · 2004
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Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., and Simoncelli, E. P · 2004
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Building a test collection for complex document information processing
Lewis, D., Agam, G., Argamon, S., Frieder, O., Grossman, D., and Heard, J · 2006
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Icdar 2009 document image binarization contest (dibco 2009)
Gatos, B., Ntirogiannis, K., and Pratikakis, I · 2009
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Binarizationshop: a user-assisted software suite for converting old documents to black-and-white
Deng, F., Wu, Z., Lu, Z., and Brown, M. S · 2010
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H-dibco 2010-handwritten document image binarization competition
Pratikakis, I., Gatos, B., and Ntirogiannis, K · 2010
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An effective document image deblurring algorithm
Chen, X., He, X., Yang, J., and Wu, Q · 2011
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Icdar 2011 document image binarization contest (dibco 2011)
Pratikakis, I., Gatos, B., and Ntirogiannis, K · 2011
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Performance evaluation methodology for historical document image binarization
Ntirogiannis, K., Gatos, B., and Pratikakis, I · 2012
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Icfhr 2012 competition on handwritten document image binarization (h-dibco 2012)
Pratikakis, I., Gatos, B., and Ntirogiannis, K · 2012
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Robust document image binarization technique for degraded document images
Su, B., Lu, S., and Tan, C. L · 2012
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Document binarization with automatic parameter tuning
Howe, N. R · 2013
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An efficient ground truthing tool for binarization of historical manuscripts
Nafchi, H. Z., Ayatollahi, S. M., Moghaddam, R. F., and Cheriet, M · 2013
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Icdar 2013 document image binarization contest (dibco 2013)
Pratikakis, I., Gatos, B., and Ntirogiannis, K · 2013
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A new thresholding algorithm for document images based on the perception of objects by distance
Mesquita, R. G., Mello, C. A., and Almeida, L · 2014
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Icfhr2014 competition on handwritten document image binarization (h-dibco 2014)
Ntirogiannis, K., Gatos, B., and Pratikakis, I · 2014
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Image super-resolution using deep convolutional networks
Dong, C., Loy, C. C., He, K., and Tang, X · 2015
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Icdar 2015 contest on multispectral text extraction (ms-tex 2015)
Hedjam, R., Nafchi, H. Z., Moghaddam, R. F., Kalacska, M., and Cheriet, M · 2015
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Convolutional neural networks for direct text deblurring
Hradiš, M., Kotera, J., Zemcık, P., and Šroubek, F · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe, S., and Szegedy, C · 2015
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., and Darrell, T · 2015
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Smartdoc-qa: A dataset for quality assessment of smartphone captured document images-single and multiple distortions
Nayef, N., Luqman, M. M., Prum, S., Eskenazi, S., Chazalon, J., and Ogier, J.-M · 2015
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Facenet: A unified embedding for face recognition and clustering
Schroff, F., Kalenichenko, D., and Philbin, J · 2015
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Lime: Low-light image enhancement via illumination map estimation
Guo, X., Li, Y., and Ling, H · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Deeply-recursive convolutional network for image super-resolution
Kim, J., Lee, J. K., and Lee, K. M · 2016
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Ssd: Single shot multibox detector
Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., and Berg, A. C · 2016
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Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections
Mao, X., Shen, C., and Yang, Y.-B · 2016
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Esrgan: Enhanced super-resolution generative adversarial networks
Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., Qiao, Y., and Change Loy, C · 2018
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Skip-connected deep convolutional autoencoder for restoration of document images
Zhao, G., Liu, J., Jiang, J., Guan, H., and Wen, J.-R · 2018
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A pipeline for automated face dataset creation from unlabeled images
Anvari, Z., and Athitsos, V · 2019
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A selectional auto-encoder approach for document image binarization
Calvo-Zaragoza, J., and Gallego, A.-J · 2019
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Document enhancement system using auto-encoders
Gangeh, M. J., Tiyyagura, S. R., Dasaratha, S. V., Motahari, H., and Duffy, N. P · 2019
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Deepotsu: Document enhancement and binarization using iterative deep learning
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Icfhr2016 handwritten document image binarization contest (h-dibco 2016)
Pratikakis, I., Zagoris, K., Barlas, G., and Gatos, B · 2016
Cited alongside, same era.
You only look once: Unified, real-time object detection
Redmon, J., Divvala, S., Girshick, R., and Farhadi, A · 2016
Cited alongside, same era.
UCI machine learning repository, 2017
Dua, D., and Graff, C · 2017
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Learning dynamic guidance for depth image enhancement
Gu, S., Zuo, W., Guo, S., Chen, Y., Chen, C., and Zhang, L · 2017
Cited alongside, same era.
Deep laplacian pyramid networks for fast and accurate super-resolution
Lai, W.-S., Huang, J.-B., Ahuja, N., and Yang, M.-H · 2017
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
Ledig, C., Theis, L., Huszár, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al · 2017
Cited alongside, same era.
He, S., and Schomaker, L · 2019
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Document rectification and illumination correction using a patch-based cnn
Li, X., Zhang, B., Liao, J., and Sander, P. V · 2019
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Low-light image enhancement via a deep hybrid network
Ren, W., Liu, S., Ma, L., Xu, Q., Xu, X., Cao, X., Du, J., and Yang, M.-H · 2019
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Underexposed photo enhancement using deep illumination estimation
Wang, R., Zhang, Q., Fu, C.-W., Shen, X., Zheng, W.-S., and Jia, J · 2019
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Learning to correct overexposed and underexposed photos
Afifi, M., Derpanis, K. G., Ommer, B., and Brown, M. S · 2020
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Zero-reference deep curve estimation for low-light image enhancement
Guo, C., Li, C., Guo, J., Loy, C. C., Hou, J., Kwong, S., and Cong, R · 2020
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Bedsr-net: A deep shadow removal network from a single document image
Lin, Y.-H., Chen, W.-C., and Chuang, Y.-Y · 2020
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Robust combined binarization method of non-uniformly illuminated document images for alphanumerical character recognition
Michalak, H., and Okarma, K · 2020
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Building super-resolution image generator for ocr accuracy improvement
Peng, X., and Wang, C · 2020
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De-gan: A conditional generative adversarial network for document enhancement
Souibgui, M. A., and Kessentini, Y · 2020
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Deep mixture of experts via shallow embedding
Wang, X., Yu, F., Dunlap, L., Ma, Y.-A., Wang, R., Mirhoseini, A., Darrell, T., and Gonzalez, J. E · 2020
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Enhanced cyclegan dehazing network
Anvari, Z., and Athitsos, V · 2021
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Light-weight document image cleanup using perceptual loss
Dey, S., and Jawanpuria, P · 2021
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End-to-end unsupervised document image blind denoising
Gangeh, M. J., Plata, M., Motahari, H., and Duffy, N. P · 2021
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Jemni, S. K., Souibgui, M. A., Kessentini, Y., and Fornés, A · 2021
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Enlightengan: Deep light enhancement without paired supervision
Jiang, Y., Gong, X., Liu, D., Cheng, Y., Fang, C., Shen, X., Yang, J., Zhou, P., and Wang, Z · 2021
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Sauvolanet: Learning adaptive sauvola network for degraded document binarization
Li, D., Wu, Y., and Zhou, Y · 2021
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A conditional gan based approach for distorted camera captured documents recovery
Souibgui, M. A., Kessentini, Y., and Fornés, A · 2021
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Learning a deep single image contrast enhancer from multi-exposure images
Cai, J., Gu, S., and Zhang, L · 2062
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