Abstract: In order to show the virtual image more intuitively, a visual communication algorithm for small and weak target images in virtual reality environment is studied. An image model is constructed based on the imaging characteristics and influencing factors of the target image in the virtual environment, the image target is adjusted based on the actual situation and image model, time domain and spatial domain are combined, and the spatial background is constrained to suppress the background image. The filtered image and residual background are used to complete image denoising. Based on the above preprocessing results, and other control factors such as the motion speed of the target image sequence, characteristic window area, and so on, image sequences are sampled, and feature tracking is converted into optical flow calculations, accurately tracking target images, obtaining optical flow results, and achieving visual communication of small and weak target images. Experimental results show that this algorithm has a higher success rate in visual communication, a shorter communication time, and a higher visual communication integrity.

Key words: virtual image, target imaging, gaussian function, time and space domain filtering, feature window, visual communication