光学学报, 2020, 40 (1): 0111015, 网络出版: 2020-01-06
基于光场的高分辨率非周期性视角图提取算法 下载: 1162次
High Resolution Nonperiodic View Extraction Algorithm Based on Light Field
摘要
针对光场成像中视角图提取的分辨率与数据准确性无法兼顾的问题,提出一种非周期性视角图提取算法。首先分析微透镜阵列采样原理,计算出各微透镜中心的偏移量;然后分析视角范围,通过合成多个视点的方式,计算合成视点对应各微透镜的投影区域;最后非周期性地提取像素块构成视角图。实验中采用Lytro相机采集光场数据,采用非周期性算法提取大小为2×2和3×3的像素块构成视角图,相较于传统方法视角图的分辨率分别提升了2×2倍和3×3倍,图像质量也得到较大幅度提升。
Abstract
In light field imaging, the view extraction resolution and data accuracy cannot be balanced. To solve this problem, a nonperiodic view extraction algorithm is proposed herein. First, the microlens array sampling principle is analyzed, and center offset of each microlens is calculated. To analyze the range of the view angle, the projection area of each microlens is calculated by synthesizing multiple viewpoints. Finally, the nonperiodic extraction of pixel blocks is utilized to form a view. A Lytro camera is utilized to obtain light field data, and a nonperiodic algorithm is used to extract 2×2 and 3×3 pixel blocks to form views. Compared to the traditional method, the proposed method improves the resolution by 2×2 and 3×3 times, while simultaneously improving the image quality.
彭晶, 李晖, 吴云韬. 基于光场的高分辨率非周期性视角图提取算法[J]. 光学学报, 2020, 40(1): 0111015. Jing Peng, Hui Li, Yuntao Wu. High Resolution Nonperiodic View Extraction Algorithm Based on Light Field[J]. Acta Optica Sinica, 2020, 40(1): 0111015.