多级块匹配变换域滤波图像去噪  

Multi-stage Block-Matching Transform Domain Filtering for Image Denoising

作　　者：侯迎坤[1] 刘明霞[1] 杨德运[1] 

机构地区：[1]泰山学院信息科学技术学院,泰安271021

出　　处：《计算机辅助设计与图形学学报》2014年第2期225-231,共7页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(61379015;61072148);山东省自然科学基金(ZR2011FM004);泰安市科技发展计划项目(20113062)

摘　　要：为了进一步提高非局部变换域滤波方法的图像去噪性能,提出一种多级块匹配变换域滤波方法.通过块匹配找到含噪图像中若干相似的图像块,然后执行相似图像块间的一维Haar小波变换,再用硬阈值收缩变换系数实现图像降噪;由于图像中充分相似的图像块数量是有限的,仅用一步上述操作并不能完全去除图像中的噪声,因此通过迭代策略去除剩余的噪声.实验结果表明,无论是PSNR值还是主观视觉质量,该方法的去噪结果都优于块匹配三维滤波方法.In order to further improve the image denoising performance of the nonlocal transform domain filtering method, this paper proposes a multistage block matching transform domain filtering method. First, it finds some similar image blocks in the noisy image through the block matching, and then implements the 1D Haar wavelet transform among these similar image blocks, uses hard threshold shrinkage to transform coefficient for image denoising. Because the number of similar image blocks is limited in a single image, only one step above operations can not completely remove the noise in the image, so residual noise is removed by iteration strategy. Experimental results show that the denoising results of the proposed method are better than those of block matching 3D filtering method on both of PSNR and subjective visual quality.

关 键 词：块匹配 非局部变换 图像去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]