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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yun Zheng Xudong Kang Shutao Li Yuan He Jun Sun |
| Copyright Year | 2014 |
| Description | Author affiliation: Inf. Technol. Lab., Fujitsu R&D Center, Beijing, China (Yun Zheng; Yuan He; Jun Sun) || Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China (Xudong Kang; Shutao Li) |
| Abstract | From a single low resolution image, a real-time document image super-resolution algorithm is proposed to obtain high resolution document image with sharp text boundaries. First, a highly efficient document image matting algorithm based on local linear modeling is designed to decompose the input image into text, foreground and background layers, which contain the text edge information, the color information of the foreground and background respectively. Then the text layer is up-sampled with Teager filter to increase the sharpness of the text. For efficiency, the foreground and background layers are simply up-sampled through the bi-cubic interpolation. Finally, these three high resolution layers are composed to obtain the high-resolution image. Experiments on real scanned document images demonstrate the effectiveness of the proposed method in both visual perception and OCR performance. |
| Sponsorship | |
| Starting Page | 232 |
| Ending Page | 236 |
| File Size | 790540 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479932443 |
| DOI | 10.1109/DAS.2014.32 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-07 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Image resolution Text analysis Image color analysis Image edge detection Optical character recognition software Image reconstruction |
| Content Type | Text |
| Resource Type | Article |
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