Based on Adaptive BM3D Millimeter-Wave Weapon Detection

被引：0

作者：

LI Yuanjiang ^{[1
,2
]}

LI Yuehua ^{[1
]}

机构：

[1] Institute of Millimeter Wave and Optical Near Sensing Technology,School of Electronic Engineering and Optoelectronic Technology,Nanjing University of Science & Technology

[2] College of Electronics and Information,Jiangsu University of Science and

来源：

微波学报 | 2012年 / 28(S1)卷 / S1期

关键词：

millimeter-wave; BM3D; adaptive thresholds; SSIM;

D O I：

10.14183/j.cnki.1005-6122.2012.s1.085

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

Millimeter-Wave Weapons Detection System has been widely used in airport,custom-house and other safety checkpoint in recent years.In this paper,we propose a new method to make the image produced by Millimeter-wave Weapons Detection System more readily identifiable.It is found that the hidden weapon in the image is easier to be distinguished after adding suitable noise level and being denoised by 3D transform domain collaborative filtering(BM3D) [1].Furthermore,we proposed a improved version of BM3D to promote the performance.Experiment results are given to demonstrate the different performance for different added noise level.

引用

页码：279 / 281

页数：3