现代电子技术2017，Vol.40Issue(9)：22-24,28,4.DOI:10.16652/j.issn.1004-373x.2017.09.006
基于卡尔曼滤波的图像降噪算法
Image denoising algorithm based on Kalman filtering
摘要
Abstract
In order to improve the digital image quality,widen the application range of the digital image,and reduce the noise existing in the digital image,an image denoising algorithm based on Kalman filtering is proposed. The characteristics of the digital image are analyzed. The wavelet analysis is used to process the digital image to fuse the multi-scale information. The Kalman filtering algorithm is adopted to conduct adaptive denoising of the image,and improve the image resolution. The experi-mental results show that the algorithm can reduce the noise of the digital image,improve the quality of the output image,and has better image visual effect.关键词
数字图像/处理系统/小波分析/图像降噪Key words
digital image/processing system/wavelet analysis/image denoising分类
信息技术与安全科学引用本文复制引用
朱金华,李玉仙..基于卡尔曼滤波的图像降噪算法[J].现代电子技术,2017,40(9):22-24,28,4.基金项目
浙江省2015年度高等教育教学改革项目(jg2015201) （jg2015201）
