A DD_DTCWT Image De-noising Method Based on Scale Noise Level Estimation

摘要：

　　In this paper, we propose a novel Scale Noise Level Estimation me thod based on Double-Density Dual Tree Complex Wavelet Transform (DD_DTCWT), which is referred to as DD_DTCWT_SNLE, to take the advan tage of the correlation between the noise and noisy coefficients of DD_DTCWT.The novel DD_DTCWT_SNLE method is formulated through both theoretical analysis and numerical simulation, and is applied into three dif ferent threshold de-noising schemes respectively.Simulation results show that there is an approximate linear relation between DD_DTCWT_SNLE and the noise level and that DD_DTCWT_SNLE can reflect the noise level of coeffi cients in each layer more accurately.The proposed method outperforms the bi variate shrinkage algorithm and a gain of 0.8 dB in PSNR is obtained when compared to other DD_DTCWT based algorithms.We also show the universal applicability of our DD_DTCWT_SNLE for multi-scale linear operators, and its usage as a noise level estimator for all the other linear multi-scale decompo sition coefficients.

关键词： Image de-noising Double-density dual tree complex wavelet trans form Scale noise level estimation Bivariate shrinkage function

作者: Weiling Xu Shuwang Wang

作者单位: Engineering College, Zhongkai University of Agriculture and Engineering,Guangzhou 510225, China Dept.of Electronic Engineering, Nanjing College of Information Technology,Nanjing 210046, China

会议类型: 国际会议

会议名称: 第八届图像图形技术与应用学术会议(8th Conference on Image and Graphics Technologies and Applications)(IGTA2013)

会议地点: 北京

会议语种:英文

页码: 145-153

在线出版日期: 2013-04-02（万方平台首次上网日期，不代表论文的发表时间）