Advanced Search
Volume 40 Issue 10
Oct.  2014
Turn off MathJax
Article Contents
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.

     

    • FullText(HTML)
  • loading
    • References(14)
  • [1]
    Hou H S, Andrews H C.Cubic splines for image interpolation and digital filtering[J].IEEE Transactions on Acoustics,Speech and Signal Processing,1978,26(6):508-517
    [2]
    Keys R C. Cubic convolution interpolation for digital image processing[J].IEEE Transactions on Acoustics,Speech and Signal Processing,1981,29(6):1153-1160
    [3]
    Li X, Orchard M T.New edge-directed interpolation[J].IEEE Transactions on Image Processing,2001,10(10):1521-1527
    [4]
    Zhang X J, Wu X L.Image interpolation by adaptive 2-d autoregressive modeling and soft-decision estimation[J].IEEE Transactions on Image Processing,2008,17(6):887-896
    [5]
    Chang S G, Cvetkovic Z,Vetterli M.Locally adaptive wavelet-based image interpolation[J].IEEE Transactions on Image Processing,2006,15(7):1471-1485
    [6]
    程光权,成礼智. 基于小波的方向自适应图像插值[J].电子与信息学报,2009,31(3):265-272 Cheng Guangquan,Cheng Lizhi.Direction adaptive image interpolation via wavelet transform[J].Journal of Electronics & Information Technology,2009,31(3):265-272(in Chinese)
    [7]
    Han J W, Kim J H,Cheon S H,et al.A novel image interpolation method using the bilateral filter[J].IEEE Transactions on Consumer Electronics,2010,56(1):175-181
    [8]
    孙毓敏. 一种基于融合的方向自适应插值算法及其应用[D].西安:西安电子科技大学,2009 Sun Yumin.A locally orientation-adaptive and fusion-based algorithm for image interpolation[D].Xi' an:Xidian University,2009(in Chinese)
    [9]
    Zhou D, Shen X,Dong W.Image zooming using directional cubic convolution interpolation[J].IET Image Processing,2012, 6(6): 627-634
    [10]
    杨鹤猛, 黄战华.基于梯度的快速图像插值算法[J].计算机应用,2012,32(10):2821-2826 Yang Hemeng,Huang Zhanhua.Fast image interpolation algorithm based on gradient[J].Journal of Computer Applications,2012,32(10):2821-2826(in Chinese)
    [11]
    Feng X J, Allebach J P.Segmented image interpolation using edge direction and texture synthesis[C]//Proceedings of IEEE International Conference on Image Processing.Piscataway,NJ:IEEE,2008:881-884
    [12]
    党向盈,吴锡生, 赵勇.基于边缘最大相关性的快速图像插值算法[J].计算机应用,2006,26(12):2880-2883 Dang Xiangying,Wu Xisheng,Zhao Yong.Fast image interpolation algorithm based on edge-directed max-relativity[J].Computer Applications,2006,26(12):2880-2883(in Chinese)
    [13]
    Li M, Nguyen T.Markov random field model-based edge-directed image interpolation[J].IEEE Transactions on Image Process,2008,17(7):1121-1128
    [14]
    贾小军, 喻擎苍,方玫,等.约束点模型的图像放大方法[J].计算机工程,2008,34(2):232-234 Jia Xiaojun,Yu Qingcang,Fang Mei,et al.Image enlargement method based on constrained points model[J].Computer Engineering,2008,34(2):232-234(in Chinese)
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views(1317) PDF downloads(649) Cited by()
    Proportional views
    Related

    Copyright © Journal of Beijing University of Aeronautics and Astronautics

    Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return