自适应非线性小波在灰度级图像去噪中的应用  

Application of Denoising in Grayscale Images with Adaptive Nonlinear Wavelet

作　　者：胡欣[1] 张利军 

机构地区：[1]长安大学电控学院,陕西西安710064 [2]长城钻探测井公司国际业务项目部,北京100101

出　　处：《电视技术》2010年第9期25-28,共4页Video Engineering

摘　　要：针对线性小波能有效去除高斯白噪声,而形态小波对目标细节的保留特性,在自适应非线性小波框架中提出了一种自适应非线性小波算法,合理利用线性小波和非线性小波的去噪能力,实现灰度级图像自适应去噪。仿真结果表明:在噪声干扰下,所提出的方法有效且稳健,对灰度级图像去噪达到预期的效果。An adaptively morphological wavelet algorithm based on adaptive lifting schemes is proposed, utilizing advantages of both linear wavelet image denoising and morphology wavelet keeping texture of the image. The algorithm can farthest suppress image white gaussian noise and keep target contours as well. These results demonstrate the effectiveness and robustness of the proposed method for denoising in the clutter and noise background.

关 键 词：非线性小波 数学形态学 自适应提升框架 去噪 

分 类 号：TN911.73[电子电信—通信与信息系统]