A new image de-noising algorithm based on wavelet transform

摘要：

　　This paper proposed a new image de-noising algorithm based on wavelet transform.Firstly,the algorithm made wavelet transform on the image,and then using the GGD described the wavelet coefficients of each sub band.Calculate the similarity of direction of horizontal,vertical and diagonal.Then adjust the coefficients according to similarity function.The experiment results showed that the algorithm not only remove the noise from the image but can protect the edge information of the image.The processing result had better visual effect and high signal to noise ratio.

关键词： image de-noising wavelet transform GGD

作者: Zhiqiang Wang Huishu An Kaicai Zhao Yan Liang

作者单位: Department of Computer Science,Deqiang Business College of Harbin University of Commerce,Harbin Heil Institute of Scientific and Technical Information of Heilongjiang,Harbin Heilongjiang,China

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 1816-1820

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）