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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinglun Shi Zhilong Shan |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China, 510641 (Jinglun Shi) || School of Computer, South China Normal University, Guangzhou, China, 510631 (Zhilong Shan) |
| Abstract | The goal of image interpolation is to produce a high-resolution image from its low-resolution counterpart. It has significant applications in video sensor network, where the resolution of images usually need to be enhanced at the end user due to the limited transmission bandwidth. The key challenge of image interpolation is to preserve the edge structure of the image. In this paper, a new image interpolation approach is proposed to adaptively adjust the interpolation according to the directional variations of images. More specifically, at each pixel position to be interpolated, its neighboring pixels are projected according to a number of proposed patterns. Then the direction of which the variation is smallest is chosen as the direction to perform image interpolation. Experimental results are provided to show that the proposed approach outperforms several conventional edge-directed image interpolation algorithms. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 637709 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457700293 |
| e-ISBN | 9781457700316 |
| DOI | 10.1109/ICICS.2011.6174296 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-13 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Image edge detection Image resolution Spline Signal resolution Image reconstruction |
| Content Type | Text |
| Resource Type | Article |
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