Research on Optimization Strategy of Stage Presentation Effect of Dance Works Based on Audience’s Psychological Perception
Published Online: Mar 21, 2025
Received: Oct 20, 2024
Accepted: Feb 01, 2025
DOI: https://doi.org/10.2478/amns-2025-0590
Keywords
© 2025 Wen Cai et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This study centers on the influence of stage presentation effect on audience’s psychological perception of dance works, and clarifies the role of effective stage presentation effect on audience’s psychological perception. On this basis, for the problems of insufficient dynamic range of stage brightness and color distortion that seriously affect the stage presentation effect, the low-light image enhancement optimization algorithm based on Retinex theory is proposed as a means and strategy to optimize the stage presentation effect. The Retinex-Net enhancement network framework is built by combining the multi-scale feature adjustment strategy, and the multi-scale illumination enhancement and reflection denoising module is proposed, which effectively coordinates the relationship between the light and dark areas and denoises the reflection component to improve the visual quality. The dance work “Richard III” by the students and faculty of the Department of Theatre of the Class of 2023 in A College of Arts is taken as the research object to carry out the practice of optimizing the stage presentation effect. The optimized stage performance image focuses on 50~150 higher grayscale areas, retaining the brightness details to ensure the overall visual effect, and the PSNR and SSIM are improved by 89.14% and 43.42% on average compared with the pre-optimization. Facing the stage presentation effect before and after optimization, the audience perceived significant differences in overall style, color temperature and hue, props distribution, performance description, language richness, number of props, and performance style (P<0.05).
