@inproceedings{f1623beed05a4d82bb8dd16378159d3e,
title = "Learning to remove reflections for text images",
abstract = "Text images taken behind a piece of glass in the wild are largely contaminated by reflections. Directly applying existing reflection removal methods on text images with reflections cannot recover clear and correct text contents due to the ignorance of special characteristics of texts. This paper proposes a stacked framework to solve the text image reflection removal problem by specifically considering the regional properties of reflection and embedding the specific text priors into the estimation process in a unified manner. Experiment results on a newly collected dataset demonstrate that the proposed method outperforms state-of-the-art methods in recovering visually pleasant reflection-free images and recognizable text features.",
keywords = "GAN, Reflection removal, Text image, Text recognition",
author = "Ce Wang and Renjie Wan and Feng Gao and Boxin Shi and Duan, {Ling Yu}",
note = "This work was supported by the National Natural Science Foundation of China under Grant 61661146005, Grant U1611461, Grant 61872012, and in part by the National Research Foundation, Prime Ministers Office, Singapore, under the NRF-NSFC Grant NRF2016NRFNSFC001-098. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Multimedia and Expo, ICME 2019 ; Conference date: 08-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
day = "8",
doi = "10.1109/ICME.2019.00222",
language = "English",
isbn = "9781538695531",
series = "Proceedings - IEEE International Conference on Multimedia and Expo",
publisher = "IEEE",
pages = "1276--1281",
booktitle = "Proceedings - 2019 IEEE International Conference on Multimedia and Expo, ICME 2019",
address = "United States",
}