An improving noise eliminated difference template based on the analysis of object and background gray value also has been developed to eliminate the low frequency noise in image.

对图像中的低频噪声，基于对图像中目标与背景灰度值特点的分析，提出了改进的差分去噪声模板。

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In image denoising, traditional low-pass methods can suppress high frequency noise, at the same time they can destroy image details unsatisfactory.

在图像滤波方面，传统的低通滤波方法在滤除图像高频成分的同时，破坏了图像的某些细节。

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The traditional low-pass filter method can restrain the high frequency part and decrease noise but may destroy image detail, and other methods also have other defects.

传统的低通滤波方法将图像的高频部分滤除，虽然能达到降低噪声的效果，但会破坏图像的细节。

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