With the development of infrared thermal imaging technology, the infrared system is playing an increasingly prominent role in the military and civilian fields such as key-area security, intelligent monitoring, epidemic prevention and control, and precision guidance, and the requirement of infrared image quality is getting higher and higher. In this paper, an infrared image enhancement method based on high-low pass hybrid filtering is designed to solve the problem of general poor adaptability about infrared image enhancement algorithms. This method integrates the advantages of both high and low pass filtering, with which the detail enhancement and background suppression of the original image are performed by using the Butterworth high-pass filter and the Gaussian low-pass filter, respectively. Then the enhanced infrared image is obtained by optimized combination. The experimental results show that the enhanced infrared image has richer details and better contrast, and the ringing effect of the traditional method is eliminated.
Aiming at the problems of poor detail texture features, low contrast and poor target detection effect in infrared images, a multi-scale infrared salient target detection algorithm based on anchor free network ECA-YOLOv5 is proposed. The model first introduces ECA attention mechanism to reduce noise interference and improve the infrared feature extraction capability of the network. Then, the shallow high-resolution feature information is supplemented, and the multi-scale feature fusion module is rebuilt to improve the utilization of feature information. Finally, an enhanced feature map output scale is added to further expand the infrared target detection size range and improve the detection capability. The experimental results show that, compared with the relevant detection model, the detection accuracy of this model for infrared targets has been significantly improved, and the recall rate and accuracy have been improved.
KEYWORDS: Video, Multimedia, Clouds, Telecommunications, Video coding, Control systems, Video processing, Network architectures, Process control, Computer programming
With the development of cloud computing, virtualization and other technologies, the runtime environment of multimedia communication systems is also gradually transitioning to cloud platforms. In order to solve the problem of integration and intercommunication between heterogeneous multimedia communication systems, and to meet the technical requirements of cloud deployment, an application is proposed. The universal audio and video codec conversion method on the cloud platform determines the functional composition and module division, designs a universal calling interface and control process, and supports the development and evolution of multimedia communication technology.
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