Ecosystem of Digital Media Art under Scientific Computing Visualization Based on Finite Element Analysis

Abstract

Digital media refers to the form of media that appears based on computer information processing technology and has an impact on society. Scientific computing visualization is the study of how to convert digital information generated in scientific computing into intuitive, image, and graphic information. It also studies how to visualize the physical phenomena or physical quantities that change with time and space in front of researchers to gain understanding and insight into the data. This paper aims to study an ecosystem of digital media art. For this system, a scientific computing visualization algorithm based on finite element analysis is proposed in this paper. It uses the algorithm to test the designed digital media ecosystem. The test results are evaluated from three aspects: image quality, system energy consumption, and processing speed. The test results show that the signal-to-noise ratio of the image displayed by the system designed in this paper is always above 50 db, and the maximum can reach more than 60 db. Its power consumption increases by less than 0.02 W for every additional 1 MB of data on average, and the average processing speed is about 3 times per second. This shows that the system has good image quality, low energy consumption, and up to standard processing capacity.