As a widely used computational imaging method, the light field imaging's research is still limited to the visible band in the electromagnetic spectrum. Based on the camera array, a method of infrared light field imaging is proposed. A passive infrared camera is used to obtain the original infrared image sequences of the same static target at different positions of the same plane. The infrared light field database is built after translational parallax correction. Then resampling images are obtained based on the light field rendering theory. Compared with the traditional infrared imaging which only records the two-dimensional position information, the infrared field imaging can record four-dimensional information of the position and direction. Experimental results show that this method can obtain a resampling image with higher signal-to-noise ratio by blending multiple low signal-to-noise ratio images, realizing the imaging of the penetration barrier by the aperture superposition average and achieving the digital refocusing with different depths of infrared scenes by resampling different depth values selected. The proposed method can make the infrared imaging more valuable in military and civilian fields.