Research On Passive Millimeter Wave Imaging System Display And Control Unit Design And Super-resolution Algorithm

The passive millimeter wave(PMMW) imaging system receives electromagnetic radiation of multi objects in the millimeter wave band, and it's imaging according to the difference of the radiation energy. Compared with the traditional visible light imaging and infrared imaging, it can penetrate the clothing and the parcel to carry out the detection of hidden objects. Compared with active millimeter wave imaging and X-ray imaging, it is harmless to human body. The excellent technical characteristics of the passive millimeter wave imaging have been highly regarded in human security, anti-terrorism monitoring and other fields.Due to the limitation of the aperture size of the imaging system, high frequency information is lost, the image is blurred, the visual effect is poor, and it is not conducive to the subsequent target detection and recognition. The super-resolution technique is adopted to deal with the low resolution image to get the high resolution image and improve the image quality.The display and control unit is an important part of the passive millimeter wave imaging system. There are many ways to realize the specific implementation of the display control terminal, which can use the personal laptop computer, also can use the embedded system. Two platforms have their own advantages: notebook computer has the big storage capacity, fast processor speed, high efficiency of software development, convenient and flexible to use; The embedded system has the advantages of small size, low power consumption and low cost, it has certain advantages in system integration and cost control.This article relies on the specific research projects to carry out research, we research on the convolutional neural network advantages in image processing, study and implement single-frame super-resolution algorithm based on neural network convolution. The design and application program development of the passive millimeter wave imaging system's display and control terminal based on notebook computer and embedded system are completed. The main contents are summed up as follows:(1) We studied the image super-resolution algorithm based on neural network convolution. Experimental results show that the proposed algorithm can effectively improve the resolution of millimeter wave image.(2) Combined with the overall specifications and performance requirements for imaging systems, We analyze the functional requirements as well as display and control Terminal transmission interface, determine hardware and software platform.(3) We complete display and control terminal interface design and application of modular design, achieve each module design and development program, including serial communication module, network communication module, image receiving and display module. We completed the development and testing Display and Control Terminal graphical interface design and the corresponding multi-platform software.(4) The joint debugging between the display control unit and the other units of the system is completed. The experimental results demonstrate that the functions of the display control terminal meet the design requirements. System functions meet the design requirements.