基于阈值函数和TV模型的印章图像去噪  

Seal image denoising based on threshold function and total variation model

作　　者：万水龙 刘进[1] 余彪[3] 

机构地区：[1]中国人民解放军91960部队 [2]南京航空航天大学 [3]中国人民解放军92493部队

出　　处：《微型机与应用》2014年第2期46-49,共4页Microcomputer & Its Applications

摘　　要：为了进一步提高针对印章图像的去噪性能,提出了一种基于阈值函数和TV模型的印章图像去噪方法。首先对含噪印章图像进行Contourlet分解;然后低频部分利用自适应TV模型进行扩散,高频部分通过阈值函数进行筛选;最后经Contourlet逆变换重构印章图像。实验结果表明,与小波阈值法、小波扩散法及Contourlet阈值法相比,该方法能有效地去除高斯白噪声和椒盐噪声的混合噪声,提高峰值信噪比,并较好地保留图像的细节和纹理,具有更好的视觉效果。In order to further improve the denoising performance of seal image , a method of the seal image denoising based on threshold function and total variation model is proposed . Firstly , the seal image with noise is decomposed through contourlet trans-form . Then adaptive total variation model is used as diffusion of low-frequency component , contourlet threshold function is acted on high-frequency component . Finally , the seal image is reconstructed by inverse contourlet transform . Experimental results show that the proposed method can effectively remove the mixed noise of Gaussian white noise and salt and pepper noise , increase the peak signal to noise ratio , remain the details and textures of images better compared with wavelet threshold method , wavelet diffusion method and contourlet threshold method .

关 键 词：印章图像 图像去噪 CONTOURLET 变换 阈值函数 自适应全变差模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TN911.73[自动化与计算机技术—计算机科学与技术]