@inproceedings{c0fa6c3c11e1445ab876bf607e81f3c0,
title = "Super resolution of text image by pruning outlier",
abstract = "We propose a learning based super resolution algorithm for single frame text image. The distance based candidate of example can't avoid the outliers and the super resolution result will be disturbed by the irrelevant outliers. In this work, the unique constraints of the text image are used to reject the outliers in the learning based SR algorithm. The final image is obtained by the Markov random field network with k nearest neighbor candidates from an image database that contains pairs of corresponding low resolution and high resolution text image patches. We demonstrate our algorithm on simulated and real scanned documents with promising results.",
keywords = "Markov random field, Outlier, Super resolution, Text image",
author = "Ziye Yan and Yao Lu and Jianwu Li",
year = "2011",
doi = "10.1007/978-3-642-24965-5_73",
language = "English",
isbn = "9783642249648",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 3",
pages = "649--656",
booktitle = "Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings",
edition = "PART 3",
note = "18th International Conference on Neural Information Processing, ICONIP 2011 ; Conference date: 13-11-2011 Through 17-11-2011",
}