【作者】 侯培国； 赵静； 刘明；

【Author】 Peiguo Hou Jing Zhao Ming Liu (Electrical Engineering Institute of Yanshan University,Hebei, Qinhuangdao, 066004)

【机构】 燕山大学电气工程学院；

【摘要】 在进行图像处理时,如何避免噪声的干扰是图像预处理技术中的一个难点和关键步骤,本文提出了一种基于小波阈值图像去噪方法。本文综合考虑了各种阈值函数的优缺点后,采用了Gao hongYe提出的Garrote函数作为阈值函数,并且采用一种适合图像降噪的阈值算法,此方法与SureShrink相比,不仅具有较好的降噪效果,而且还具有比SureShrink更低的计算复杂度,随后给出了一种新的噪声水平估计方法,使得本算法更能很好的用于图像处理。更多还原

【Abstract】 In image processing, how to avoid noise interference in image preprocessing technology is a difficult and critical step. An image de-noising method based on wavelet threshold is presented in this article. Garrote function is used in this paper after integrate considering the merits and drawbacks of every threshold function, and a adaptive image de-noising threshold arithmetic is used in this paper, this method compared with SureShrink, not only has better de-noising effect, but also had a lower rate than SureShrink complex degrees, and then given a new noise level estimation methods, making the algorithm more good for the image processing.更多还原