Journal
COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume 66, Issue 1, Pages 1-18Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2013.04.026
Keywords
Image interpolation; Registration-based interpolation; L-2-gradient flow; Multi-resolution transformation; Shape feature preservation
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Funding
- NSFC [11101401, 81173663]
- NSFC key project [10990013]
- Funds for Creative Research Groups of China [11021101]
- NSF CAREER Award [OCI-1149591]
- Winters Foundation
- Direct For Computer & Info Scie & Enginr
- Office of Advanced Cyberinfrastructure (OAC) [1149591] Funding Source: National Science Foundation
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We present a novel registration-based image interpolation approach in this paper. The proposed method is divided into two steps: image registration and intensity interpolation. An image registration method is developed to construct a corresponding transformation, which is represented by the bicubic B-spline vector-valued function, between the given images so that the image features are well matched. To match features from coarse to fine, a multi-resolution strategy is applied with different numbers of B-spline control points adopted at various resolution levels. After registration, the intensity values of in-between images are calculated by linear/cubic interpolation along the matching lines. Experimental results demonstrate that our interpolation approach is effective, robust, and capable of producing continuously deformed in-between images with clear shape features. (C) 2013 Elsevier Ltd. All rights reserved.
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