Uncooled Infrared Imaging System Based On FPGA

In recent years infrared imaging technology has achieved rapid development. With the development of the focal plane array and aging of the image processing technology, application of infrared imaging system has gradually shifted from military to civilian areas, the market prospect is considerable. However, because of bugs in infrared detector's materials, leading to the infrared image of the imaging results are not particularly desirable: noise, low contrast, disability to distinguish details and non-uniformity of the infrared image are inevitable shortcomings. This directly led to the using value of original infrared image is not high. Therefore, a infrared imaging system with real-time image processing functions is the basic requirements.This paper will analyze the existing infrared image processing algorithms, and correspond the infrared image for its defect to do some process: using two-point calibration algorithms to remove infrared image's non-uniformity; using blind pixel correction algorithm and median filtering algorithm to reduce noise of infrared image; using histogram equalization algorithms to improve the contrast of infrared images, and taking into account the requirements of real-time infrared imaging, using the feature whose real-time processing of data of FPGA, the finished is a small FPGA-based uncooled infrared imaging system. This article will details the design ideas and the steps of this infrared thermal imaging system, including the design of NIOS system, the design of infrared image processing system, the design of drivers, and the hardware implementation of each module. During the design process of the entire system is to uphold the attitude of saving resources, doing some optimization in the realization of functional modules, and reducing the use of logic resources, strive to use the minimal resource on chip to design the optimal system performance.From the result, the system can successfully imaging in real-time, and eliminating the fringes of infrared image because of the non-uniformity, the noise, and improving the image contrast, completing the design requirements and the stated objectives.