基于平移不变的小波变换去噪快速算法  

A De-noising Fast Algorithm of Wavelet Transform Based on Translation invariance

作　　者：康金钟[1] 康志伟[1] 

机构地区：[1]湖南大学计算机与通信学院,湖南长沙410082

出　　处：《微电子学与计算机》2005年第9期24-26,共3页Microelectronics & Computer

摘　　要：在介绍小波变换去噪理论的基础上,针对传统的小波变换去噪算法的缺陷,提出了一种基于平移不变的小波去噪快速算法。着重探讨平移不变小波去噪方法中平移量的选取对去噪效果以及计算复杂度的影响。仿真实验证明该算法能够在不影响去噪效果的前提下,较大程度降低计算复杂度。Based on the introduction of the de-noising theory of Wavelet transformation, a fast de-noising algorithm of wavelet Threshold based on translation-invariance is presented to resolve the Problems of the traditional de-noising algorithm based on wavelet Transformation. The influence on the effects of image denoising and Compute complexity is discussed by altering the value of translation Invariant. The results of simulation experiment indicate that the fast Algorithm can reduce the compute complexity remarkably without Influence on the effects of image de-noising.

关 键 词：小波变换 平移不变 去噪 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]