双能X射线高动态范围安检图像压缩算法  

Compression Algorithm of Dual X-ray Security Inspection Images with High Dynamic Range

作　　者：原培新[1] 陈鼎夫 YUAN Pei-xin;CHEN Ding-fu(School of Mechanical Engineering&Automation,Northeastern University,Shenyang 110819,China)

机构地区：[1]东北大学机械工程与自动化学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2021年第1期96-101,共6页Journal of Northeastern University(Natural Science)

基　　金：重大科技攻关项目(JB2016GD034).

摘　　要：为使拥有高动态范围的双能X射线安检图像在普通显示器上显示时不丢失细节,提出了一种基于多尺度局部保边(local edge-preserving,LEP)滤波的自适应色调映射算法.该算法对原始图像进行多尺度LEP滤波,得到1个基础层和3个细节层.随后对基础层进行对数自适应色调映射,并对3个细节层进行Sigmoid函数自适应增强.将处理后的各层图像相加,并进行直方图均衡化调整以去除噪声、提高图像对比度.该算法同时对高、低能X射线图像进行处理,并在处理后根据高、低能图像各自的特点进行融合,最终得到保留丰富信息的低动态范围双能X射线图像.实验表明,该算法在信息熵、对比度提升指数及峰值信噪比三方面都有提高,能够有效改善图像质量.In order to display dual X-ray images with high dynamic range from a security inspection system without losing details,a self-adaptive tone mapping algorithm based on the multiscale local edge-preserving filter was proposed.The input image was decomposed into one base layer and three detail layers by using the LEP filter.An adaptive logarithmic transformation was carried out in the base layer to compress the dynamic range and the three detail layers were enhanced by an adaptive Sigmoid function.Every detail layer image was fused with the base layer image and histogram equalization was taken considering noise and increasing contrast.The proposed algorithm was used to dispose the high and low energy X-ray images at the same time and both of them were combined according to their own merits,which could get a low dynamic range dual X-ray image with rich details.Experimental results showed that the proposed algorithm highly improves images information entropy,contrast improvement index and peak signal to noise ratio,which indicates that the image quality is successfully optimized.

关 键 词：双能X射线 安检图像 高动态范围 自适应 多尺度滤波 图像融合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN911.73[自动化与计算机技术—计算机科学与技术]