西安电子科技大学学报（自然科学版）2017，Vol.44Issue(5)：102-108,7.DOI:10.3969/j.issn.1001-2400.2017.05.018
方向扩散方程修正B M3D图像去噪改进算法
Modified BM3D algorithm for image denoising using the directed diffusion equation
摘要
Abstract
In order to preserve the edges and details of the image better,a modified block-matching and 3D filtering algorithm based on the directed diffusion is proposed.First,the block-matching and 3D filtering result is divided into three perpendicular subbands by using the wavelet decomposition.Second,by adding the diffusion operator and diffusion coefficients to the directed diffusion equation,the diffusion speed can be accelerated and edges can not be blurred quickly.Then we diffuse the subband of the high-frequency,of which the wavelet coefficients are less than the threshold to the corresponding subband of the noisy image to get a new estimate.Lastly,by replacing the corresponding subband of the block-matching and 3D filtering estimated image with the new one,we obtain the improved denoising result.Experimental results show that the improved algorithm achieves better performance than the original block-matching and 3D filtering algorithm in terms of both removing noise and preserving the edges and details of the image.关键词
图像去噪/三维块匹配/小波分解/各向异性扩散Key words
image denoising/block-matching and three dimensional filtering/wavelet decomposition/anisotropic diffusion分类
信息技术与安全科学引用本文复制引用
冯象初,李晓晖,王卫卫,贾西西..方向扩散方程修正B M3D图像去噪改进算法[J].西安电子科技大学学报（自然科学版）,2017,44(5):102-108,7.基金项目
国家自然科学基金资助项目(61271294,61472303) （61271294,61472303）
中央高校基本科研业务费专项资金资助项目(NSIY21) （NSIY21）
