Distributed opto-electronic cooperation is an efficient way to enhance the detection and recognition ability of single-machine opto-electronic load. Comprehensive processing of collected images is the foundation of collaborative applications. Multi source image super-resolution reconstruction, multi-source image information fusion, and multi-view image mosaic stitching can achieve wide-area high-resolution imaging and improve the detection and recognition capabilities of the system. However, the improvement of the practical ability of distributed opto-electronic systems still needs to be verified. Therefore, a distributed opto-electronic cooperative partial-real simulation platform was established to discuss the image performance after comprehensive processing. The results show that image mosaic of 4-channel videos can be completed simultaneously, and the isotropic local contrast ratio and perceived contrast ratio of the fused image are improved. The peak signal-to-noise ratio of the reconstructed image is increased by 30.88%, which can improve the reconnaissance effect to a certain extent.