Distributed long-wave infrared array camera based on fiber image bundle

To address the complex structure and bulky volume problem of long-wave infrared detection system, we design a front-and-back-splitting distributed long-wave infrared array camera based on fiber image bundle with a simple and high-flexibility structure. The proposed system achieves higher signal-to-noise ratio and improved resolution using image algorithm processing. Benefited by the fiber bundle, the front and back lens groups are separated, which is conductive to scanning imaging and conformal design. A principal prototype of 2-way synthesis is built to verify the imaging performance of the array camera. The prototype is used to obtain two-aperture time series images of small target. One is used as a benchmark and the other is registered and synthesized. The signal-to-noise ratio of composite image increased by 25.15% by eliminating time noise. Besides, this paper uses the redundant information among multiple micro-displacement images obtained by pixel-level displacement of fiber bundle to achieve super-resolution image reconstruction. The image resolution at least doubles in one-dimensional direction and the reconstruction algorithm can be extended to two dimensions. Experimental results of the prototype show that the distributed array camera we designed can improve the signal-to-noise ratio and realize image super-resolution reconstruction with structure simplified and volume reduced.