University of Oulu, RFMedia Laboratory, Oulu Southern Institute, Vierimaantie 5, 84100 Ylivieska, Finland.
Opt Lett. 2011 Jun 1;36(11):2035-7. doi: 10.1364/OL.36.002035.
Depth extraction is an important aspect of three-dimensional (3D) image processing with digital holograms and an essential step in extended focus imaging and metrology. All available depth extraction techniques with macroscopic objects are based on variance; however, the effectiveness of this is object dependent. We propose to use disparity between corresponding points in intensity reconstructions to determine depth. Our method requires a single hologram of a scene, from which we reconstruct two different perspectives. In the reconstruction the phase information is not needed, which makes this method useful for in-line digital holography. To our knowledge disparity based 3D image processing has never been proposed before for digital holography.
深度提取是数字全息三维图像处理的一个重要方面，也是扩展焦深成像和计量学的关键步骤。所有现有的宏观物体深度提取技术都是基于方差的，但是这种方法的有效性取决于物体。我们提出使用强度重建中对应点之间的视差来确定深度。我们的方法只需要场景的单个全息图，即可从中重建两个不同的视角。在重建过程中不需要相位信息，这使得该方法可用于线数字全息术。据我们所知，数字全息术中从未提出过基于视差的三维图像处理方法。
