Abstract

Background noise, for example, can influence the outcome of target recognition in the visual communication design of weak target images, lowering the visual communication effect. In order to achieve this, this paper proposes a visual communication design method for weak target images based on spatiotemporal domain filtering. It uses guided filtering to smooth the image and raise the gray level of weak target points, and then obtains the background baseline of target points in the image sequence through the micro-partial equation to complete the image’s spatiotemporal domain background suppression. The best visual communication design result is achieved. The experimental findings demonstrate that the suggested approach has a good visual communication effect and that the pace of communication is not constrained by the size of the images.

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