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Volume 40 Issue 10
Oct.  2014
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Journal of Beijing University of Aeronautics and Astronautics  > 2014  >  40(10): 1463-1468.
Li Chunlong, Pan Haixia, Wang Huafenget al. Adaptive cubic convolution based image interpolation approach[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1463-1468. doi: 10.13700/j.bh.1001-5965.2013.0621(in Chinese)
Citation: Li Chunlong, Pan Haixia, Wang Huafenget al. Adaptive cubic convolution based image interpolation approach[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1463-1468. doi: 10.13700/j.bh.1001-5965.2013.0621(in Chinese)
shu

Adaptive cubic convolution based image interpolation approach

doi: 10.13700/j.bh.1001-5965.2013.0621

  • School of Software, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 30 Oct 2013
  • Publish Date: 20 Oct 2014
    Abstract
  • Image interpolation is an important technique of image processing, which can be used in many image process areas. In recent years, it is often used to zoom in or zoom out images. A novel effective image interpolation mechanism to enhance the enlarged image edges was proposed for the visual artifacts problem in traditional magnification algorithms and the high computational cost in some adaptive image interpolation algorithms. The proposed algorithm combines the edge-directed gradient with the cubic convolution interpolation algorithm to obtain the higher quality of an image both in the edges and smooth areas. The result shows that the proposed algorithm gets a better visual effect and effectively removes the jaggy and blur at the edge. The proposed algorithm is less complex with running time reduced by 3.19 s on average, compared with the edge-adaptive interpolation algorithm, and has higher quality with the peak signal-to-noise ratio (PSNR) raised by 0.89 dB on average, compared with the cubic algorithm.

     

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