The proposed algorithm exceeds the current ones markedly in both denoising effect and computational complexity.
与当前消噪算法相比，所提出的算法在消噪效果和复杂度方面优势较为明显。
Experiments indicate that it can preserve dim target information in small target images, and obtain good denoising effect.
实验方面，该方法能很好的保留图像中的小目标信息，且去噪效果好。
The result verifies that the high order approximation method offers better denoising effect and higher signal to noise ratio.
结果证明，相对于其他方法，高次逼近法去噪效果良好，得到的信噪比更高。
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