TY -的A2 - Chen Miaochao AU -王,益盟——他Changpeng AU -李,镇江PY - 2021 DA - 2021/12/30 TI -应用程序基于双向耦合扩散方程的图像去噪方法在公安取证SP - 1589182六世- 2021 AB -本文使用web直播和点播平台基于B / S体系结构的应用程序,设计了一种视频图像取证系统,能满足多个警察类型和多个应用程序场景。系统使用手机的视频图像采集终端解决问题的快速反应和隐蔽,使用5 g通信技术作为传输介质来解决设备移动和链接维护的问题。多样化的问题多个警察类型的使用和应用模式是解决;视频图像证据在一个集中的存储管理,审计,和导出方法,安全性和真实性的证据是解决。而系统实现一系列功能如收集、传输、存储、和应用视频图像的证据,它还实现了视频图像的应用程序端直播功能根据实际工作的需要,解决了大型指挥和决策问题,一直受到公安机关。为了消除噪音公安法医图像和平滑噪声,同时保留了图像的细节,提出了一种基于双向耦合扩散方程的去噪算法。通过改进的二阶偏微分方程,一个新的扩散函数与扩散效应优于原始模型。我们结合自适应阈值边缘和停止准则建立一种新的去噪算法模型,可以获得更好的去噪效果。噪音水平较低时,PSNR值和SSIM几种去噪方法相对理想的价值,结果在更高的层面,去噪图像的效果更好,而且没有明显的不完整的噪声去除或细节问题。随着噪声的增加,去噪结果将逐渐减少,也将影响不同程度不同。 When the noise intensity increases, visually, it can be clearly seen that the two-way coupled diffusion equation and DnCNN have better denoising effects. When the noise level is high, the two-way coupled diffusion equation network is used to use the clear image and the denoised image for indistinguishable calculation. The method in this paper almost retains all the texture details in the clear image, and there are almost no artifacts and images. On the other hand, the color of the image after denoising by the method in this paper is more vivid, and it is closer to the target picture in terms of picture definition and tone, the denoising effect is ideal, and the generated image has a higher degree of restoration. Compared with the residual GAN, the two-way coupling diffusion equation network converges faster and the network performance is improved. SN - 1687-9120 UR - https://doi.org/10.1155/2021/1589182 DO - 10.1155/2021/1589182 JF - Advances in Mathematical Physics PB - Hindawi KW - ER -