数字电影产业中三维图像重构技术改进
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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。
The image in digital film has the dynamic nature and random distribution of frames,which may result in poor fidelity of image reconstruction. The wavelet reconstruction method adopted in traditional methods is influenced by wavelet scale selection accuracy greatly. In order to improve the visual effect of digital film image reconstruction,a three-dimensional image reconstruction technology based on adjacent frame compensation and electronic image stabilization in digital film industry is proposed. The pixel feature points of the images in digital film are scanned,and the scanned and output feature points are performed with template matching and edge contour feature extraction by means of adjacent frame difference compensation method to extract the dynamic frequency hopping feature points in digital film images. The extracted feature points are processed with electronic image stabilization technology by means of SIFT algorithm to improve the quality of image reconstruction. The experimental results show that the method used to reconstruct the 3D image of digital film has good image output effect,and broad application prospect in the design of 3D and 4D images.
The image in digital film has the dynamic nature and random distribution of frames,which may result in poor fidelity of image reconstruction. The wavelet reconstruction method adopted in traditional methods is influenced by wavelet scale selection accuracy greatly. In order to improve the visual effect of digital film image reconstruction,a three-dimensional image reconstruction technology based on adjacent frame compensation and electronic image stabilization in digital film industry is proposed. The pixel feature points of the images in digital film are scanned,and the scanned and output feature points are performed with template matching and edge contour feature extraction by means of adjacent frame difference compensation method to extract the dynamic frequency hopping feature points in digital film images. The extracted feature points are processed with electronic image stabilization technology by means of SIFT algorithm to improve the quality of image reconstruction. The experimental results show that the method used to reconstruct the 3D image of digital film has good image output effect,and broad application prospect in the design of 3D and 4D images.
引文
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