Visual Sensing Technology for Digital Image-Oriented Public Art Design

Abstract

With the development of computer software technology, computer image processing software has become increasingly significant in the public art design process. It can help with graphic design inventiveness and color presentation, as well as improve the aesthetics of public art design. This study aims to analyze the use of digital image synthesis and visual sensing techniques in public art design, as well as to use Dongba paintings, which reflects Chinese culture, as image fusion research objects. The Dongba painting’s line drawing is modeled and drawn, and an element library is created. The characteristic information of Dongba paintings is extracted using line integration convolution (LIC) algorithm. The background texture elements of the image are fused using image quilting texture’s improved synthesis algorithm. To improve the image effect of the linked Dongba paintings, a local color transfer algorithm based on color transfer rights is presented. The results show that the optimized synthesis algorithm of image quilting textures can achieve the same texture synthesis effect as the original algorithm. The method can meet the needs of real-world applications while also significantly improving the original technique’s performance. The synthesis time is reduced by 87.67%, and the image recognition accuracy of the local color transfer algorithm reaches 88.9%. Compared with other algorithms, the recognition accuracy is improved by 6.4%. The proposed digital image synthesis technique can create good images with different foreground and backdrop combinations and can provide a diverse visual expression. This contributes to public art’s visual production.