The application of ghost imaging in infrared imaging detection technology

Traditional imaging are mostly based on the principle of lens imaging which is simple but the imaging result is heavily dependent on the quality of detector. It is usual to increase the detector array density or reduce the size of pixels to improve the imaging resolution, especially for infrared imaging. It will decrease the light flux causing the noise enhance relatively and add the cost on the contrary. Besides, there is a novel imaging technology called ghost imaging. We present a new infrared imaging method named computational ghost imaging only using a bucket detector without spatial resolution, which avoiding the allocation of flux on the pixel dimension as well as reducing the cost.