Design And Realization Of Algorithm For Non-uniformity Correction Of Irfpa

Uncooled long wave infrared focal plane arrays detectors are uncomplicated in construction, stable and reliable, of high sensitivity and of low noise equivalent temperature difference. Uncooled long wave infrared focal plane arrays detector is most important develop direction in the world. It is expected to play an important role in national economy and defense security and some other fields.In the process of long wave IRFPA detector imaging, there is obvious non-uniformity, a certain amount of missing pixels and the contrast of the image is poor. These disadvantages above are badly influencing the quality of infrared images and limiting the appliance of uncooled IRFPA detectors now and in future. This subject is focused on non-uniformity correction, replacement of missing pixels and image enhancement of poly-silicon long wave IRFPA images and realizing it in hardware basing on FPGA. In this subject, we firstly detect missing pixels, and then we finish non-uniformity correction with dynamic drift two-point method. Meanwhile, replacement of missing pixels is finished. At last, contrast enhancement is completed with three-section linear stretching method. We apply FPGA for the hardware circuit to ensure that the arithmetic above is realized efficiently and stably. To the technology of hardware realization, flow process is the key technology to keep real-time of the system, and the main circuit structure to realize all kinds of functions is finite-state machine. In addition, a lot of storage space is saved in this subject by some ingenious usage of contrast enhancement parameters. This system should firstly be stable and reliable, in addition, it need to reduce its size and consumption as much as possible, so as to increase its sustaining power and flexibility.Through actual measurement and simulation with software like ModelSim, we tested and verified the system. Experiment results show that our arithmetic is simple and effective to wide arrange of targets and temperature. On the other hand, applying FPGA makes the system efficient, of high computational accuracy, stable, cheaper and low consumed. So, there is a lot of optimizing and developing space for this system.