Digital imaging technology originated from scientific and technological competitions in the military field, allowing continuous high-intensity digital photography work. The ocean virtual scene display of digital images is more flexible and more tolerant. The ocean virtual scene can be used to model the structure of different regions, create a diversified ocean experience pavilion as much as possible, and create a multi-dimensional visual product. Through this research, we get: 1. The best frame rate is 100.607 when High Dynamic Range (HDR) is off and 98.47 when HDR is on. When A =0.0161, Me =26, K1 = 0.6488, G =28, K2 = -0.0072, α =58, Omega =2.5229, β =78. The simulation experiment of ocean scene construction shows that it only needs to calculate the ocean virtual scene of LONC area, and repeatedly set and splice the ocean virtual scene to form a large modeling scene. 2. When the FFT model is optimized, the parameters are set as follows: Meta Flight =0.946, Open Flight =0.441, α =0.828, Omega =089, β =0.754; The optimal parameters of multiple kernel learning model in ocean virtual scene are: Meta Flight =0.757, Pen Flight =0.818, α =0.781, Omega =0.157, β =1.739; The best parameters of the ocean virtual scene of Vega Prime model are: Meta Flight =0.285, Open Flight =0.803, α =0.701, Omega =0.725, and β =0.757. And the constructed ocean virtual scene can achieve the best effect. 3. In the FFT model, when the related technical parameters are set optimally, the two-dimensional animation is integrated into the digital image as a visual special effect element or an animation subtitle, so that the digital image is more interesting, creative and propagable.

In this paper, a semi-active nonlinear artificial intelligence compound controller for marine engines was developed to improve vibration reduction characteristics across a wide frequency range. A mathematical model was developed and investigated for two-stage vibration isolation systems (Virgin IslandsS) considering vertical, roll, and pitch motion. The passive mathematical model of the magnetorheological damper was also developed and integrated with the two-stage VIS. The passive numerical analysis was validated through the experimental investigation. Force transmitted from the engine to the base was evaluated on the validated model using four different strategies, that is, conventional passive, semi-active low, semi-active high, and semi-active controlled damper. In a semi-active–controlled damper, a mathematical model is developed for controlling the force by developing a nonlinear artificial intelligent compound controller (NAICC) using the algorithm of chaotic fruit fly and fuzzy logic control. The results show that the application of NAICC has a better isolating effect than the passive VIS over a broad spectrum of frequencies. By strengthening the control effect in the low-frequency resonance zone, marine engine vibration reduction performance was significantly enhanced.

Three-dimensional rendering includes the test of system development environment and running environment. Three-dimensional rendering influencing factors test: the number and size of parallel blocks affect the average rendering frame rate of 26.9 when the number is 9600 and the size is 10 × 10, and the average rendering frame rate is 13.7 when the number is 600 and the size is 40 × 40. According to relevant data, it is inferred that the average rendering frame rate is higher when the number of parallel blocks is large and the size of parallel blocks is small, and the number is inversely proportional to the size. The rendering window size also has a relative influence on the rendering frame rate. When the window size is 600 × 400, only the terrain frame rate is 77.3, and when the window size is 1200 × 800, the frame rate is 68.1, which shows that when only the terrain frame rate is rendered, the frame rate decreases with the increase in the window size, and its performance is not high when only CPU is used. However, when CPU is combined with GPU, the performance is greatly improved, reaching the highest of 29.3 and the lowest of 21.5, which is much higher than that when only CPU is used. According to the influence of the number of sampling points on the frame rate, the 5 × 5 sampling method and 2 × 2 sampling method proposed in this paper have better frame rate performance than the traditional template shadow method. Through the above data, we know that the number of parallel blocks, size, window size, sampling method, and other factors have a certain impact on the average rendering frame rate. Marine bionics is a marginal subject between marine biology and technical engineering science. Deep networks have had a huge impact on the field of machine learning research and application, but at the same time, they cannot clearly explain the ins and outs of deep networks. People have been working to understand the complex process more thoroughly. Since humans’ cognition and experience of the world mainly come from vision, good visualization can effectively help people understand the deep network and perform effective optimization and adjustment.