Traditional computer vision (CV) approaches are the norm when attempting to extract edge information from an imaged object. These discrete approaches are almost always performed on 2D intensity imagery and at times can be computationally expensive depending on the algorithm. Digital holography (DH) provides access to the 3D object information. By manipulation of the Fourier transform of the hologram, which is also needed for isolating the real or virtual image in off-axis DH, edge information can be extracted by high pass spatial filtering of the pertinent cropped and centered spectrum. We show simple simulations utilizing 2-D and 3-D objects to show edge enhancement qualities using this approach, and compare its performance to conventional CV techniques. The same technique can be used to perform other image processing functions, such as image sharpening, blurring, and others so long as the correct filters are applied. Developments in ultra-high definition displays have either incorporated DH or have overlapping areas of interest currently, including 3-D television and augmented reality.
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