基于色彩空间分块匹配的三维动画融合技术

3D Animation Fusion Technology Based on Block Matching in Color Space

为了提高影视动画制作的三维图像成像质量,需要进行动画图像的动态信息融合处理,提出一种基于二维色彩空间分块匹配的三维动画图像的动态信息融合处理技术,采用虚拟视景重构技术进行三维动画图像采集和特征投影处理,对三维动画图像进行二值拟合和边缘轮廓检测,采用RGB分解技术进行三维动画图像的颜色分量提取,采用颜色模板空间投影算法进行三维动画图像的分块融合处理,提高三维动画图像的边缘像素点的特征配对性能,结合三维动画图像的色彩空间分块融合结果进行像素特征优化配置,计算匹配窗口相关系数,实现三维动画图像的动态信息融合处理。仿真结果表明,采用该方法进行三维动画图像的动态信息融合处理,能提高图像输出峰值信噪比,提高动态成像质量。

In order to improve the image quality of 3D animation, it is necessary to deal with the dynamic information fusion of animation image. A dynamic information fusion technology of 3D animation image based on two-dimensional color space matching is proposed. Virtual scene reconstruction technology is used for 3D animation image acquisition and feature projection processing, binary fitting and edge contour detection for 3D animation image. RGB decomposition technology is adopted for color component extraction of 3D animation image. The color template space projection algorithm is used to deal with the block fusion of 3D animation images to improve the feature matching performance of edge pixels of 3D animation images. Based on the color space block fusion information of 3D animation image, the pixel feature is optimized and the correlation coefficient of matching window is calculated, and the dynamic information fusion processing of 3D animation image is realized. The simulation results show that the proposed method can improve the peak signal to noise ratio (PSNR) of the image output and improve the dynamic imaging quality.