The Use of Scientific Programming Method under Visual Communication Design Concept in Urban Landscape Design

Abstract

The purpose of this study is to provide more orderly and convenient urban planning ideas for the fast-paced life in the complex urban environment. The current sign design is analyzed according to the needs of urban residents for barrier-free sign design, and the sign design based on urban space color is established. An urban landscape visual communication optimization method is proposed based on hue saturation value (HSV) technology. The multiscale retinex (MSR) algorithm is used as a reference for simulation experiments. The experimental results show that the designed optimization method is significantly better than the traditional method in the expression effect of visual communication. First, the attention time of the sign design can be reduced by more than 3 seconds, which can effectively improve the lives of urban residents and tourists and improve their browsing efficiency. Next, 94% of the citizens believe that optimized urban signs are more prominent than traditional ones. Finally, the sign design optimization method proposed provides an image with a higher definition than the traditional sign design method. The proposed sign design and optimization scheme can effectively coordinate the relationship among urban landscape design, guided objects, and cities, help busy urban life, and provide new ideas for the development direction of visual communication design.