An edge-guided image interpolation method using Taylor series approximation
| Autor: | Seung-Jun Lee, Mun-Cheon Kang, Kwang-Hyun Uhm, Sung-Jea Ko |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Bilinear interpolation 02 engineering and technology Directional derivative Convolution Multivariate interpolation Nearest-neighbor interpolation 0202 electrical engineering electronic engineering information engineering Media Technology Image scaling Computer vision Electrical and Electronic Engineering Demosaicing Inverse quadratic interpolation Pixel business.industry Trilinear interpolation 020207 software engineering Stairstep interpolation Computer Science::Computer Vision and Pattern Recognition Bicubic interpolation 020201 artificial intelligence & image processing Artificial intelligence Spline interpolation business Algorithm Interpolation |
| Zdroj: | IEEE Transactions on Consumer Electronics. 62:159-165 |
| ISSN: | 0098-3063 |
| DOI: | 10.1109/tce.2016.7514715 |
| Popis: | In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first- and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity1. |
| Databáze: | OpenAIRE |
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