作　　者： ;

机构地区： 泉州师范学院物理与信息工程学院物理系

出　　处： 《光学技术》 2006年第5期796-798,共3页

摘　　要： 根据图像小波分解的特点和小波分解后高频小波系数的统计特性,构造了一种新阈值函数的去噪算法。与传统的硬阈值、软阈值函数相比,新阈值函数考虑了图像能量分布的特点,对于每一小波系数乘以一个与自身大小相关的降噪因子,并且新阈值函数简单易于计算,具有较强的自适应性。实验结果表明,采用新阈值函数的去噪结果能够有效地抑制图像的马赛克效应,无论在视觉效果上,还是在信噪比增益上均优于传统的软、硬阈值方法。 According to analysis of the characteristic of wavelet transform and statistical character of wavelet coefficient, a new wavelet threshold function was presented. Comparing with conventional soft and hard threshold function, this new threshold function has considered the distribution of image energy. Each wavelet coeffMent multiplication by different denoising factor, so it is a simple and adaptive denoising algorithm. Experimental results show that the denoising algorithm can mitigate the mosaic appearance effectively and the numerical results also show that the new algorithm give better PSNR gains than conventional soft and hard threshold algorithm.

关 键 词： 图像去噪 小波变换 自适应 阈值

领　　域： [自动化与计算机技术] [自动化与计算机技术]