Research And Implementation Of Signal Processing Methods For Miniaturized Infrared Thermal Imaging Cameras

The infrared thermal imaging camera can transform the invisible infrared thermal radiation into the visible image and has less effection by the differences between day and night,weather and so on.The infrared thermal imaging camera with non-refrigeration infrared sensor as the core has the characteristics of miniaturization,so it has wide application prospects in military,aerospace,vehicle,security and other fields.At present,the image of non-refrigeration infrared sensor has many problems,such as poor non-uniformity,serious thermal noise and low contrast of image signals.These problems limit the application of miniaturized infrared thermal imaging camera.Therefore,the research on the signal processing method of the miniaturized infrared thermal imaging camera is of great significance.In this paper,we take the PICO640 2GenTM thermal image sensor as a research object.Initially,we study and analyze the working principle and configuration of this sensor,based on the PICO640 2GenTM image sensor,we design the framework of miniaturized thermal imaging camera hardware system,which consists PICO640 2GenTM+FPGA.Furthermore,to reach the noise requirement of the sensor,we design a low-noise signal processing hardware circuit,which greatly reduces the noise of the sensor output signal.Additionally,we research and propose the multi-layer software framework based on Qsys and Avalon bus.Finally,we focus on the research of infrared signal processing algorithm with the help of the framework of miniaturized infrared thermal imaging camera hardware and software system.We improve and realize the scene based non-uniformity correction algorithm with motion judgment,the improving time-domain noise reduction based on motion estimation,the adaptive platform histogram equalization with FPGA.We apply these algorithms to the software system framework as the form of subsystems.Experimental results show that the infrared thermal imaging camera designed by this paper has the advantages of miniaturization,low power consumption,high image quality.The image index can meet the requirements of application.Signal processing algorithms improve the image quality and practicability of the miniaturized infrared thermal imaging camera.