摘要
被乘性噪声污染的图像会出现随机散布的小斑点.斑点会导致图像质量降低,严重影响图像的自动分割、定量分析、目标检测以及定量专题信息的提取等后处理.本文结合作者的以前工作阐述了基于全变差和加权全变差的乘性噪声去除问题.最后对可能研究的问题进行了描述.
Abstract： Multiplicative noise shows as randomly scattered spots on images. The spots not only reduce the image quality, but also seriously affect the image segmentation, quantitative analysis and target detection and information extraction. The method of multiplicative noise removal based on total variation and iteratively reweighted total variation are summarized. The forecast of multiplicative noise removal study is presented on the basis of a systemic summary of the research status.
作者
王旭东
吕长青
赵海旭
WANG Xu-dong;LY Chang-qing;ZHAO Hai-xu(School of computer and Information Engineering,Guangxi Teachers Education University,Nanning 530299,China;School of Mathematics and Statistics,Zaozhuang University,Zaozhuang 277160,China)
出处
《枣庄学院学报》
2018年第5期64-69,共6页
Journal of Zaozhuang University
基金
广西自然科学基金资助(项目编号:2015GXNSFAA39309
2015GXNSFAA139312)
国家级大学生创新创业训练计划项目(项目编号:201710904032
201610904022)
关键词
图像去噪
乘性噪声
变分法
稀疏
Image denoising
Multplicative noise
Variation method
Sparse
