现代电子技术2017，Vol.40Issue(23)：43-46,4.DOI:10.16652/j.issn.1004-373x.2017.23.011
抖动状态下运动模糊图像去噪滤波方法
Denoising filtering method of motion blurred image under dithering condition
摘要
Abstract
Since the denoising filtering of motion blurred image under dithering condition has the problems of big error and poor effect,a denoising filter of motion blurred image under dithering condition is proposed and designed,which is based on the combination of the minimum total variation and sparse representation. The noise generation reason for the motion blurred image is analyzed in the aspects of imaging noise interference and channel transmission interference to determine the dithering point. The minimum total variation method is used to construct the total-variation denoising model,and the weighted average is carried out for the denoising model. The sparse representation method is introduced to construct the denoising filter model of the motion blurred image to realize the design of denoising filter of the motion blurred image under dithering condition. The experimental re-sults show that,in comparison with the traditional denoising filters,the improved denoising filter has a certain advantages in the aspects of denoising filtering error and efficiency.关键词
抖动状态/运动模糊图像/图像去噪/滤波器设计Key words
dithering condition/motion blurred image/image denoising/filter design分类
信息技术与安全科学引用本文复制引用
何晓菊..抖动状态下运动模糊图像去噪滤波方法[J].现代电子技术,2017,40(23):43-46,4.基金项目
河南省高等学校重点科研项目(15A520119) （15A520119）
