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Home > Archive>Volume 23, Issue 5, 2012 >1248-1259. DOI:10.3724/SP.J.1001.2012.04049
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Image Interpolation Algorithm Based on Implicit Piecewise Autoregressive Model
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    Abstract:

    The piecewise statistical stationary property of natural image signals provides an effective way to model the image signals. However, the statistical stationary region always has an irregular profile. Large mismatch errors rise when a regular shape window is adopted to estimate the statistics in these regions. This paper proposes an implicit piecewise autoregressive model based on a probabilistic description of the statistical stationary region. According to this model, an improved image interpolation algorithm is presented. The experimental results show that the proposed interpolation method can greatly alleviate the blurring, ringing, and noisy artifacts around edges in interpolated image.

    Reference
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    [4] Morse BS, Schwartzwald D. Isophote-Based interpolation. In: Proc. of the ’98 Int’l Conf. on Image Processing (ICIP’998). Chicago: IEEE Computer Society Press, 1998. 227-231. [doi: 10.1109/ICIP.1998.999013]
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    [7] Zhan Y, Wang MH, Wan Q, Li M. Modified algorithm with bidirectional diffusion for TV image interpolation. Journal of Software, 2009,20(6):1694-1702 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/3532.htm [doi: 10.3724/SP.J.1001. 2009.03532]
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任杰,刘家瑛,白蔚,郭宗明.基于隐式分段自回归模型的图像插值算法.软件学报,2012,23(5):1248-1259

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History
  • Received:November 29,2010
  • Revised:April 28,2011
  • Online: April 29,2012
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