Study On Enhanced Algorithm Of Infrared Image Based On SOPC

With the rapid development of science and technology. The infrared imaging is widely used in warnings, reconnoiter, guidance, navigation, remote sensing, atmosphere, medical diagnosis, scientific research and some military and civilian areas. Infrared imaging system are often insufficient due to the collecting device and surroundings. In the applications, that is harmful to feature extraction, target recognition and target tracking. Consequently, It is necessary to enhance the infrared image. Enhancement of the Infrared image mainly get through to expand the gray-scale dynamic range, raise the image contrast, enhance the edge, improve the SNR and some operation to improve the quality of infrared image and save the useful information of infrared image. This paper design the system and improve the algorithm aiming at the characteristics of infrared image processing system, it has a lot of values in research significance and practical application.This paper introduced the basic knowledge of infrared radiation and infrared imaging ,and then, expounds the development of thermal infrared imager. Based on the analysis of the advantages and disadvantages in existing infrared image enhancement processing system. It proposed an infrared image processing system based on the SOPC to realize the infrared image enhancement algorithm. The system has miniaturization, portable, high function, low cost and some advantage like that. Then it research several different infrared image enhancement algorithm aim at the features of SOPC, and proposed an improved infrared image enhancement algorithm. This algorithm use the threshold segmentation to distinguish background and objectives, and then use the histogram equalization to treat the aim of infrared image. The processing largely simplified the difficulty, and make the algorithm can easily design and realize in SOPC. Finally, it transplant the algorithm on the infrared image processing system in SOPC to test and verify. Experimental results show that the infrared object treated by the enhanced algorithm has the visual effect are superior to the traditional infrared image enhancement algorithm, this algorithm is stable, easy to realize, and it is satisfy to the applications with treating in real-time.