Wedgelet变换自适应消噪算法研究  

Wedgelet wavelet transform research of adaptive noise reduction algorithm

作　　者：钟满田[1] 

机构地区：[1]罗定职业技术学院教育系,广东罗定527200

出　　处：《陕西理工学院学报（自然科学版）》2015年第2期45-49,共5页Journal of Shananxi University of Technology:Natural Science Edition

摘　　要：为探索增强图像一致性自适应消噪的新算法,并检验其在图像增强和消噪中的功效,采用构建正交多分辨率Wedgelet变换的自适应消噪方法,利用黑白图像进行了计算机仿真实验,结果表明:从仿真实验中得出该算法在图像增强图像消噪方面比传统的Beamlab200工具箱运行时间短,收敛速度快,均方误差小,信噪比大,消噪效果优势明显。In order to explore a new enhancement algorithm for image denoising by adaptive consistency for the exploration and test in image enhancement and denoising effect,the paper adopts the adaptive construction of orthogonal multiresolution Wedgelet transform denoising method,and conducts a simulation test using a black and white image. It is concluded that the method is efficient in short running time,fast convergence speed,small mean square error,great noise ratio and good de-noising effect.

关 键 词：Wedgelet变换 增强图像 自适应消噪算法 

分 类 号：TN911.73[电子电信—通信与信息系统]