光学学报, 2014, 34 (5): 0511003, 网络出版: 2014-04-22
基于元素图像阵列采样的集成成像重构方法
Computational Reconstruction for Integral Imaging with Sampled Elemental Images
集成成像 计算机重构 元素图像 采样 匹配像素 integral imaging computational reconstruction elemental image sampling matching pixel
摘要
高质量的集成成像系统需要采集和存储大量图像数据。提出了一种新的计算机重构方法,可以减少集成成像系统显示端在计算机重构时所需要使用的数据量。传统的计算机重构方法要利用每个元素图像,而此方法对CCD相机采集的元素图像阵列进行周期采样,仅利用被采样的元素图像即可重构出多视点图像。这种方法充分利用集成成像中邻近的元素图像中具有匹配像素的特点,将未被采样的元素图像信息由邻近的被采样的元素图像中的匹配像素替代,从而减少了重构过程中使用的数据量,这给不同性能的集成成像显示端带来很大的灵活性,降低了对存储空间和传输带宽的要求。
Abstract
High-quality integral imaging (II) system requires collecting and storing large amounts of image data. To reduce the amount of data demanded by II display part during computational reconstruction, a novel computional reconstruction method is proposed. Conventional computational reconstruction needs to use each elemental image. However, in the proposed method, elemental images array recorded by CCD camera are periodically sampled, and multiple view images can be reconstructed by only utilizing the sampled elemental images. This method makes full use of the matching pixel for the adjacent elemental images in integral imaging. Therefore, the unsampled elemental image information can be replaced by the matching pixel in the sampled elemental images to reconstruct multiple view images. Thus, the amount of data required for reconstruction can be reduced by using this proposed method, which can provide flexibility for II display part with different performances, and reduces the requirements for the storage capacity and transmission bandwidth for integral images.
王宇, 朴燕. 基于元素图像阵列采样的集成成像重构方法[J]. 光学学报, 2014, 34(5): 0511003. Wang Yu, Piao Yan. Computational Reconstruction for Integral Imaging with Sampled Elemental Images[J]. Acta Optica Sinica, 2014, 34(5): 0511003.