现代电子技术2017，Vol.40Issue(17)：36-39,4.DOI:10.16652/j.issn.1004-373x.2017.17.009
结合全变分的双边滤波图像去噪方法研究
Total variation model based bilateral filtering method of image denoising
摘要
Abstract
The image denoising,as a key step in digital image processing,affects the final quality of image processing di-rectly. Since the traditional total variation(TV)regularization denoising algorithm is easily to produce the staircase effect,a bi-lateral filtering method based on TV model is proposed to eliminate the staircase effect to a certain extent,in which the filtering characteristics in the aspects of spatial domain and value domain are considered. The experimental results show that the denoising method can obtain better denoising effect,reserve the edge feature information of the image,and has perfect denoising effect. In comparison with PSNR obtained with TV algorithm,the PSNR of the gray image with 256 × 256 size is increased by 1.45 dB, and the PSNR of the gray image with 512×512 size is increased by 2.56 dB.关键词
数字图像/图像去噪/TV正则化/双边滤波Key words
digital image/image denoising/TV regularization/bilateral filtering分类
信息技术与安全科学引用本文复制引用
刘永财,鲍益东,王小平,陈文亮..结合全变分的双边滤波图像去噪方法研究[J].现代电子技术,2017,40(17):36-39,4.基金项目
国家自然科学基金项目(51575266) （51575266）
