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)。
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 interpo- lated 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).
出处
《山西电子技术》
2011年第6期8-10,16,共4页
Shanxi Electronic Technology
关键词
图像插值
自回归模型
软判决估计
EM算法
image interpolation
autoregressive model
soft-decision estimation
EM algorithm