Real-Time AR Technology Assisted High-Resolution Image Processing and its Graphic Design Application

Abstract

Based on real-time AR technology, this paper processes high-resolution graphics and uses it in graphic design. A high-resolution image equalization algorithm based on the maximum entropy model is proposed. First, use the Otsu method to determine the data segmentation point of high-resolution graphics; then preprocess the high-resolution image; then traverse according to the proposed maximum entropy model to find the dynamic range segmentation point that maximizes the image entropy after equalization, and finally according to the data segmentation point and dynamics, the range division point performs highresolution image equalization on the image to obtain the final enhancement result. Experiments show that compared with other comparison algorithms, the algorithm has a wide application range, strong detail retention ability, and natural effect. Experiments show that compared with other contrast algorithms, this algorithm has a proper contrast improvement, a wide range of applications, can be used for real-time video enhancement and graphic design and is practical. In the graphic design stage, the involvement of digital technology has become a basis for designers to choose horizontal solutions. In the early stage site design and mid-term graphics selection, the performance analysis software in BIM was used to analyze the acousto-optic heat of the plane. Based on this intuitive data analysis, the scheme was weighed. At the same time, the VR three-dimensional space experience reinforces the "people-oriented" design principle. With the help of digital technology, the designer compares the solutions horizontally from the perspective of rationality and sensibility, to choose the sustainable design of graphic design. INDEX TERMS Real-time AR technology; high-resolution images; graphic processing; graphic design.

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“…The literature [14] will process the high-resolution graphics will be used for graphic design to determine the data segmentation points of the high-resolution graphics and pre-process the highresolution images. According to the proposed maximum entropy model traversal, the dynamic range segmentation point with the maximum image entropy after equalization is found, and the highresolution image equalization is performed on the image.…”