Culture shaping and value realization of digital media art under Internet+

Abstract

This exploration aims to better realize the cultural shaping and the value of digital media art under the background of Internet+. The security of digital media art information dissemination is discussed first. Then, the carrier image generation algorithm under the steganography process and deep learning is analyzed. After the improvement by edge computing (EC) and image steganography technology, the mean square error of carrier image generation algorithm is about 0.2 smaller than the three comparison algorithms, indicating that the optimized steganography technology is more stable. Meanwhile, the peak signal-to-noise ratio of the improved algorithm is between 0.06 and 0.2, and the structural similarity index measure is close to 1. Compared with traditional image steganography algorithm, multi-objective optimization based on genetic algorithm (MO-GA) algorithm improves the invisibility and security of steganography. Furthermore, the genetic algorithm is used to iteratively detect individuals with higher fitness of filtering residuals, to obtain the optimal solution of evolutionary multi-objective optimization problem. Finally, it is concluded that the MO-GA image steganography technology based on EC has advantages in the above three indicators, which improves the information security in the process of culture shaping and value realization of digital media.