This paper discusses how to design an adaptive filter to remove the noise of an image in terms of the principle of least squares and regression model.
文章讨论如何根据最小二乘原理和回归模型设计出自适应滤波器，以用于消除图像噪声。
An adaptive filter is designed in the paper to remove the noise of an image in terms of the principle of least squares and regression model.
根据最小二乘原理和回归模型设计出消除噪声的自适应滤波器，以消除图像的噪声。
The validity, features and adaptive region of these models are analysed through test, and compared with the least square regression model.
通过实验分析这两种模型的有效性、特点及适用范围，并与常用的最小二乘回归模型相比较。
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