| 基于EM算法的SAI图像插值改进技术 |
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| 引用本文： | 侯翠翠,干宗良.基于EM算法的SAI图像插值改进技术[J].山西电子技术,2011(6):8-10,16. |
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| 作者姓名： | 侯翠翠 干宗良 |
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| 作者单位： | 南京邮电大学通信与信息工程学院; |
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| 摘 要： | 提出了一种基于期望最大（Expectation Maximization，EM）算法对自适应二维自回归建模与软判决估计联合插值（SAI）算法进行改进的算法，它将插入像素的估计值反馈回分段二维自回归模型（PAR）参数的估计过程中，修正估计出的模型参数。实验结果显示：该算法能产生良好的视觉效果及较高的峰值信噪比（PSNR）。
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| 关 键 词： | 图像插值 自回归模型 软判决估计 EM算法 |
Improved SAI Image Interpolation Techniques Based on EM Algorithm |
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| Hou Cui-cui,Gan Zong-liang.Improved SAI Image Interpolation Techniques Based on EM Algorithm[J].Shanxi Electronic Technology,2011(6):8-10,16. |
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| Authors: | Hou Cui-cui Gan Zong-liang |
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| Affiliation: | Hou Cui-cui,Gan Zong-liang(Nanjing University of Posts and Telecommunication,Nanjing Jiangsu 210003,China) |
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| Abstract: | A novel algorithm based on expectation maximization(EM) is proposed for improving the image interpolation by adaptive 2-D autoregressive modeling and soft decision estimation(SAI) algorithm.To revise the estimated model parameters,the interpolated pixels are back to estimation process of the PAR model parameters.The experimental results show that the proposed algorithm can obtain better visual effect and higher peak signal noise ratio(PSNR). |
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| Keywords: | image interpolation autoregressive model soft-decision estimation EM algorithm |
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