Algorithmic Innovation and Visual Communication Strategies in Digital Visual Effects

Abstract

With the popularization of digital mobile devices, the development of new media technology and the Internet, visual media presentation becomes more and more diversified and gradually transforms to digitalization. The article optimizes the digital halftone algorithm using visual model and printer model, and proposes an adaptive digital halftone algorithm for enhancing digital images. The enhanced digital image is input into the dual-tree complex wavelet transform for feature dimensionality reduction and noise processing, and then combined with the HSV color model to establish the optimization algorithm for visual communication effect. The average PSNR of the adaptive digital halftone algorithm is 2.31% higher than that of the Floyd-Steinberg error diffusion method, and the information entropy of the visual communication optimization can be up to 9.29 bits, and when the number of digital images is 100, the optimization time of the proposed method for the visual communication optimization is only 30.71 s. The visual communication design works can be attracted to the audience through the optimization of the visual communication effect. The visual communication design works obtained through digital visual effect optimization can attract more attention from the audience and can also effectively trigger positive emotions from the audience. From the optimization of digital visual effect, it is necessary to further introduce the integration of digital technology and visual communication design, combine cross-border resource sharing and improve the dynamic effect of visual communication design, and then improve the effect of visual communication design works.

Keywords

• digital halftone algorithm
• dual-tree complex wavelet transform
• hsv color model
• digital vision
• 68t05