基于轮廓波维纳滤波的红外图像动态压缩仿真  

Dynamic Compression Simulation of Infrared Image Based on Contour Wave Wiener Filter

作　　者：高金锋 马贺红 姚汝贤[1] GAO Jin-feng;MA He-hong;YAO Ru-xian(Huanghuai University,Zhumadian Henan 463000,China)

机构地区：[1]黄淮学院

出　　处：《计算机仿真》2019年第11期347-351,共5页Computer Simulation

基　　金：河南省自然科学基金面上项目(1623004100195)

摘　　要：针对传统的红外图像动态压缩方法存在初始图像信息保留不完整的缺陷,提出基于轮廓波维纳滤波的红外图像动态压缩方法。对红外图像进行增强处理完成红外图像分割,通过分割结果进行计算得到最优非线性映射曲线参数。利用轮廓波维纳滤波将增强后的红外图像分解为基图像和细节图像,分别计算图像各个像素的局部方差,通过各个像素的局部方差计算各个细节图像的细节函数,对基图像进行平台直方图均衡化处理,将其与细节图像相结合,动态压缩轮廓波维纳波红外图像。结果表明,和现阶段已有的红外图像压缩方法相比,所提方法能够完整保留初始图像信息、提高图像的清晰度以及分辨率,并且更加适用于红外图像的实时处理。Traditionally, the original image information is incomplete in infrared image dynamic compression method. This article puts forward a method of infrared image dynamic compression based on contour Wiener filter. Firstly, the infrared image was segmented by the enhancement treatment. And then, the optimal parameters of nonlinear mapping curve were obtained by the segmentation results. Secondly, the contour Wiener filter was used to divide the enhanced infrared image into the base image and the detail image. Thirdly, the local variance of each pixel was calculated and the detail function of each detail image was calculated by the local variance of each pixel. Moreover, the platform histogram equalization was applied to the base image, which was combined with the detail image. Finally, the contour Wiener-wave infrared image was compressed dynamically. Simulation results show that, compared with current infrared image compression methods, the proposed method can completely preserve the initial image information and improve the definition and resolution of image. Meanwhile, this method is more suitable for real-time processing of infrared image.

关 键 词：轮廓波 维纳滤波 红外图像 动态压缩 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]