In order to improve the virtual reconstruction effect of complex lighting images ,a virtual reconstruction method for complex lighting images based on fusion of scene depth estimation and visual communication is proposed. Aiming at the mutual interference of mixed frequency illumination at different scene depths ,a correlation matching noise reduction method is used to achieve image noise reduction processing. The median brightness value in the low brightness region of the illumination image is used as the reference value for scene depth ,and the method of global characteristics and local detail feature fitting is used to achieve scene depth detection and visual tracking fitting for complex illumination images ,The HSV spatial feature decomposition method is used to fuse the brightness channels of lighting images in different scenes ,extract detailed information such as scene object edges and textures ,and achieve virtual reconstruction of complex lighting images based on visual communication effects under scene depth detection and global contrast fusion. The simulation test results show that using this method to perform virtual reconstruction of com- plex lighting images has a good visual expression ability ,and the reconstructed image has a strong ability to display de- tails. It can accurately reconstruct hidden image information in dark areas. The peak signal to noise ratio of the two dataset images is high ,and the root mean square error is low ,respectively 45. 63 dB ,53. 21 dB ,and 0. 366 ,0. 265. Moreover ,the reconstruction time is short ,and the maximum length is only 1. 5 s ,with strong reconstruction perform-ance.