Abstract
In this paper, we present a novel edge-directed upsampling method based on radial basis function (RBF) interpolation. In order to remove artifacts such as blurred edges or blocking effects, we suggest a nonlinear method capable of taking edge information into account. The resampling evaluation is determined according to the edge orientation. The proposed scheme is as simple to implement as linear methods but it demonstrates improved visual quality by preserving the edge features better than the classical linear interpolation methods. The algorithm is compared with some well-known linear schemes as well as recently developed nonlinear schemes. The resulting images demonstrate the new algorithm's ability to magnify an image while preserving the edge features.
| Original language | English |
|---|---|
| Pages (from-to) | 2682-2692 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Image Processing |
| Volume | 19 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2010 |
Bibliographical note
Funding Information:Manuscript received July 05, 2009; revised November 03, 2009; accepted April 13, 2010. Date of publication May 10, 2010; date of current version September 17, 2010. The work of J. Yoon was supported by Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (2009-0093827) and Mid-career Researcher Program through NRF Grant funded by the MEST (2009-0084583). The work of Y. Ju Lee was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (2010-0011689). The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Pier Luigi Dragotti.
Keywords
- Curvature
- Edge-directed interpolation
- Image upsampling
- Radial basis function (RBF)