摘要:
本文介绍了一种实际散斑模式的数学模型和噪声统计模型,并提出了一种针对这种模型的自适应次优滤波方法。文中在分析了散斑模式及其噪声性质的基础上,利用其局部方向性特征,结合最优线性滤波器和非线性滤波器的特点,对线性最小均方误差滤波器进行了自适应逼近。实验结果表明,对散斑模式而言,本文的滤波方法与其它常用的图象滤波方法相比,具有更好的去噪和边缘保护性能,并且具有较好的滤波韧性。
Abstract:
A statistical noise model and a mathematical model for real speckle pattern are presented, and then, in view of the models, a new adaptive suboptimal image filtering approach is proposed. The proposed approach, with the local direction features of speckle pattern, combines the characteristcs of optimal linear filter with non-linear filter and is an adaptive approximation to linear minimum mean square error filter. Experimental results show that the proposed approach has fairly good edge-preserved performance, compared with other present image filters, as well
as much better filtering performance and robustness for speckle pattern.
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