目前对去噪方法课题的研究通常集中在两个方面:(1)确定其阈值;(2)收缩去噪函数。我们一般常用的去噪措施在确定其阈值的时候,通常是考虑不到图像本身的一种特性的,因此就会使得这类型的算法受到较大的限制,其整个去噪的效果就不能达到一个理想的最佳状态。由此可得,我们就提出了一种方法:依据遗传算法所得出的多小波自适应来计算去噪效果,本文就针对上述问题提出一些有效的策略,并获得一最理想的去噪效果。 At present, the research on denoising methods is usually focused on two aspects: (1) to determine the threshold; (2) to shrink the denoising function. The commonly used de-noising measures in determining its threshold, usually do not consider a feature of the image itself, thus making this type of algorithm subject to greater restrictions, the overall effect of denoising can not be achieved An ideal state of the art From this, we propose a method to calculate the denoising effect based on the multiwavelet adaptive algorithm derived from genetic algorithm. In this paper, we propose some effective strategies and get an optimal denoising effect.