Study On Infrared Image Capturing And Processing

Recently, the thermal imaging technology have been developed rapidly and widely used. And various thermal imaging devices are developed. Meanwhile, the quality of thermal imaging is not very satisfactory because of the influence of infrared detectors and working environment, though the thermal image quality is improving. According to imaging devices, and the required indicators, the relative processing is needed.Output image measured by the infrared imaging system SC3000 and image processing algorithms are studied in this paper. The structure and working principle of the infrared imaging system is studied in this paper. And a number of infrared images were measured by the thermal infrared imager SC3000. Then the characteristics of the infrared image are acquired analyzing the infrared mechanism and measured infrared images.Infrared image processing is studied by applying corresponding infrared image enhancement algorithm, according to the characteristics of infrared image. And the effects of enhanced contrast, restrained noise and improved fringe are acquired.A hybrid algorithm is derived from different algorithms based on their effects. This algorithm combines the benefits of several algorithms and further enhanced the image of the visual effects.Finally, Retinex infrared image processing algorithm is studied based on visual constancy theory, and compared with the hybrid algorithm. It is proved that the Retinex algorithm and hybrid algorithm is applicable to infrared image processing, and can achieve a good effect.