摘要
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.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings |
| 页 | 649-656 |
| 页数 | 8 |
| 版本 | PART 3 |
| DOI | |
| 出版状态 | 已出版 - 2011 |
| 活动 | 18th International Conference on Neural Information Processing, ICONIP 2011 - Shanghai, 中国 期限: 13 11月 2011 → 17 11月 2011 |
出版系列
| 姓名 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| 编号 | PART 3 |
| 卷 | 7064 LNCS |
| ISSN（印刷版） | 0302-9743 |
| ISSN（电子版） | 1611-3349 |
会议
| 会议 | 18th International Conference on Neural Information Processing, ICONIP 2011 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Shanghai |
| 时期 | 13/11/11 → 17/11/11 |
指纹
探究 'Super resolution of text image by pruning outlier' 的科研主题。它们共同构成独一无二的指纹。引用此
Yan, Z., Lu, Y., & Li, J. (2011). Super resolution of text image by pruning outlier. 在 Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings (PART 3 编辑, 页码 649-656). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 7064 LNCS, 号码 PART 3). https://doi.org/10.1007/978-3-642-24965-5_73