数字电影产业中三维图像重构技术改进

发布时间：2018-06-07 19:25

本文选题：数字电影 + 三维图像重构　；参考：《现代电子技术》2017年18期

【摘要】：数字电影中图像具有动态性和帧分布随机性,导致图像重构的逼真度不好。传统方法采用小波重构方法,受到小波尺度选择准确性影响较大。为了改善数字电影画面重构的视觉效果,提出一种基于相邻帧补偿和电子稳像技术的数字电影产业中三维图像重构技术。对数字电影的图像画面进行像素特征点扫描,对扫描输出的特征点采用相邻帧差补偿方法进行模板匹配和边缘轮廓特征提取,提取数字电影图像中动态跳频特征点,对提取的特征点通过SIFT算法进行电子稳像处理,提高图像重构的画质。实验结果表明,采用该方法进行数字电影的三维图像重构,具有较好的图像画面输出效果,在3D和4D影像设计中具有应用前景。
[Abstract]:The image in digital film is dynamic and the frame distribution is random, which leads to poor fidelity of image reconstruction. The traditional wavelet reconstruction method is greatly affected by the accuracy of wavelet scale selection. In order to improve the visual effect of digital film image reconstruction, a 3D image reconstruction technology in digital film industry based on adjacent frame compensation and electronic image stabilization technology is proposed. The pixel feature points of digital movie images are scanned, and the adjacent frame difference compensation method is used to extract the feature points of dynamic frequency hopping in digital movie images, which is based on template matching and edge contour feature extraction. The extracted feature points are processed by sift algorithm to improve the image quality of image reconstruction. The experimental results show that this method has good image output effect and has the application prospect in 3D and 4D image design.
【作者单位】：华北理工大学艺术学院;
【基金】：河北省科学技术厅课题(15314971)
【分类号】：J943;TP391.41

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