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。

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.

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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。

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.

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根据模糊图象和估计的理想图象，利用多元回归分析设计滤波器，最后将滤波器应用于整幅图象完成图象的复原。

According to the degraded image and the ideal subimage, a filter is designed by using multiple regression analysis and then applied to restore the whole image.

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