吉林大学学报(信息科学版) ›› 2024, Vol. 42 ›› Issue (5): 840-846.

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三维虚拟图像中动态特征增强算法设计

薛  峰1,2, 陶海峰1   

  1. 1. 上海理工大学 出版印刷与艺术设计学院,上海200093;2. 上海印刷出版高等专科学校艺术设计系,上海200093
  • 收稿日期:2023-07-18 出版日期:2024-10-21 发布日期:2024-10-21
  • 作者简介:薛峰(1974— ), 男, 江苏南通人, 上海理工大学讲师,主要从事艺术设计研究,(Tel)86-13501744321(E-mail)baixu9966 @163. com。
  • 基金资助:
    国家自然科学基金资助项目(6217023627) 

Design of Dynamic Feature Enhancement Algorithm in 3D Virtual Images

 XUE Feng1, TAO Haifeng2   

  1. 1. School of Publishing, Printing, and Art Design, University of Shanghai for Science and Technology, Shanghai 200093, China; 2. Faculty of Art and Design, Shanghai Publishing and Printing College, Shanghai 200093, China
  • Received:2023-07-18 Online:2024-10-21 Published:2024-10-21

摘要: 为有效解决三维虚拟图像存在的亮度不均匀的问题,提出一种三维虚拟图像中动态特征增强算法。 将 中值滤波算法和小波软阈值算法有效结合,对三维虚拟图像进行去噪处理。 通过视觉选择特性设定新的结构 元, 构建连通粒属性以及分层统计模型对图像进行颜色转换和结构元匹配,得到对应的映射子图,提取动态特 征。 将三维虚拟图像输入至改进的U-net++网络内,采用不同层密集连接增强不同层次图像特征的关联性,并 将全部动态特征融合进行细节重建,实现三维虚拟图像动态特征增强。 实验结果表明,所提算法可获取满意的 三维虚拟图像中动态特征增强效果。

关键词: 三维虚拟图像, 动态特征, 增强, 颜色转换, 密集连接

Abstract:  To effectively solve the problem of uneven brightness in 3D virtual images, a dynamic feature enhancement algorithm for 3D virtual images is proposed. Median filtering algorithm and wavelet soft thresholding algorithm are combined effectively for denoising of 3D virtual images. By setting new structural elements based on visual selection characteristics, connected particle attributes are constructed, and using hierarchical statistical models to perform color conversion and structural element matching on the image, corresponding mapping subgraphs are obtained, and dynamic features are extracted. The 3D virtual image is inputted into an improved U-net++network, dense connections are used at different layers to enhance the correlation of image features at different levels, and all dynamic features are fused for detail reconstruction to achieve dynamic feature enhancement of the 3D virtual image. According to the experimental results, the proposed algorithm can achieve satisfactory dynamic feature enhancement effects in 3D virtual images. 

Key words: 3D virtual images, dynamic characteristics, enhance, color conversion, dense connection

中图分类号: 

  • TP391