交通车辆视频图像传输实时优化检测仿真

摘要

This article proposes a method for real-time transmission detection of video image information of vehicle based on quad tree and partial differential equation.Firstly,the message block of original video image of vehicle was switched into coefficient set representing components with different frequency.Then threshold quantization was carried out for high frequency part of the video image after transition,and high-frequency component was filtered out.Moreover,the frequency component and channel reliability were acquired after polarization of Polar yard integrated with partial differential equation,and information of likelihood ratio was calculated according to sequence received by channel.Finally,the detection was completed using the result.Experimental results show that the method has high detection quality and provides powerful basis for building better traffic environment.%交通车辆视频图像的传输实时检测,能够有效提升交通事故现场处理效率.对视频图像的传输实时检测,需要滤除视频图像的高频分量,计算其似然率信息,完成对图像传输的实时检测.传统方法先对图像的不同频域子带的小波树进行分类,进而对各部分图像灰度值进行压缩,但忽略了计算其似然率信息,导致检测精度低.提出基于四叉树和偏微分方程的车辆视频图像信息实时传输检测方法.将原始车辆视频图像的信息块转换成代表不同频率分量的系数集,并对转换后的车辆视频图像高频部分进行域值量化,滤除高频分量,融合于偏微分方程获取频率分量与Polar码极化后的信道可靠性,依据信道接收到的序列计算其似然率信息,利用计算的结果完成对车辆视频图像信息实时传输检测.实验结果表明,所提方法车辆视频图像传输检测质量较高,为创建良好的交通环境提供有力的依据.