Presentation + Paper
8 March 2023 Optical image processing of 2-D and 3-D objects using digital holography
Eric Smith, Partha Banerjee
Author Affiliations +
Abstract
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.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric Smith and Partha Banerjee "Optical image processing of 2-D and 3-D objects using digital holography", Proc. SPIE 12445, Practical Holography XXXVII: Displays, Materials, and Applications, 124450M (8 March 2023); https://doi.org/10.1117/12.2660594
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KEYWORDS
3D image reconstruction

3D image processing

Spatial filtering

Holography

Image processing

Digital holography

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