激光与光电子学进展, 2019, 56 (15): 151003, 网络出版: 2019-08-05  

光场图像透视变换算法 下载: 1183次

Perspective Transformation Algorithm for Light Field Image
王建明 1,2毛一鸣 1,2晏涛 1,2,*刘渊 1,2
作者单位
1 江南大学数字媒体学院, 江苏 无锡 214122
2 江苏省媒体设计与软件技术重点实验室, 江苏 无锡 214122
摘要
提出一种基于全变分投影和空洞修复的光场图像透视变换算法。该算法可估计输入光场图像每个子视点的视差图,通过图像反向投影和重投影优化生成指定虚拟相机位置和姿态的光场图像,接着使用基于视差优先级的图像修复方法修复透视变换后的中心子视点图像,再通过中心子视点向水平和垂直方向进行内容传播,依次修复其他子视点图像。实验结果表明,所提方法生成的透视变换光场图像满足需求,可正确填充被遮挡区域,可以应用于多种光场图像编辑。
Abstract
This study proposes a perspective transformation algorithm for light field image based on total variational projection and hole restoration. The proposed method estimates disparity maps for all subaperture views of the input light field image. The light field image with the specified posture in the specified virtual camera position is generated via back projection and reprojection optimization. Using the image restoration algorithm based on the disparity priority, we restore the central subaperture view image after perspective transformation. The central subaperture views are used for content distribution in horizontal and vertical directions, and thus the rest subaperture view images are restored orderly. Experimental results show that the perspective transformed light field images generated by the proposed method meet requirements, and the covered regions are filled correctly. The proposed method can be applied to a series of light field image editing.

王建明, 毛一鸣, 晏涛, 刘渊. 光场图像透视变换算法[J]. 激光与光电子学进展, 2019, 56(15): 151003. Jianming Wang, Yiming Mao, Tao Yan, Yuan Liu. Perspective Transformation Algorithm for Light Field Image[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151003.

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