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.
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.
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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