Abstract
High-speed optical reconstruction of 3D-scenes can be achieved using digital holography with binary digital micromirror devices (DMD) or a ferroelectric spatial light modulator (fSLM). There are many algorithms for binarizing digital holograms. The most common are methods based on global and local thresholding and error diffusion techniques. In addition, hologram binarization is used in optical encryption, data compression, beam shaping, 3D-displays, nanofabrication, materials characterization, etc. This paper proposes an adaptive binarization method based on a combination of local threshold processing, hologram division into blocks, and error diffusion procedure (the LDE method). The method is applied for binarization of optically recorded and computer-generated digital holograms of flat objects and three-dimensional scenes. The quality of reconstructed images was compared with different methods of error diffusion and thresholding. Image reconstruction quality was up to 22% higher by various metrics than that one for standard binarization methods. The optical hologram reconstruction using DMD confirms the results of the numerical simulations.
Highlights
High-speed optical digital holographic reconstruction is one of the promising approaches for 3D-TV development [1–4] and for beam shaping [5]
Hologram binarization is used in optical encryption, data compression, beam shaping, 3D-displays, nanofabrication, materials characterization, etc
This paper proposes an adaptive binarization method based on a combination of local threshold processing, hologram division into blocks, and error diffusion procedure
Summary
High-speed optical digital holographic reconstruction is one of the promising approaches for 3D-TV development [1–4] and for beam shaping [5]. Binary holograms are more useful for the majority of DMD applications Another popular type of spatial light modulator is based on liquid crystals. The most common are local and global thresholding methods [2,22,29–33] and error diffusion techniques [15,34–43] They are used both for binarization of optically registered digital holograms [15,30,32,33,37] and for computer-generated holograms [29,34,38–40,43]. For each block of pixels, a different threshold value is calculated Such adaptivity of local methods allows for saving a higher percentage of informative components during binarization. Imaging 2022, 8, 15 methods of global binarization by threshold [56,61] They provide a higher quality of image reconstruction. Adaptive local methods are optimal from the point of view of both reconstruction quality and speed of processing They will be used in the development of a universal hologram binarization method
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