Computational wave optics library for C++: CWO++ library

Shimobaba, Tomoyoshi; Weng, Jian Tong; Sakurai, Takahiro; Okada, Naohisa; Nishitsuji, Takashi; Tsuji, Naoki; Shiraki, Atsushi; Masuda, Nobuyuki; Ito, Tomoyoshi

doi:10.1016/j.cpc.2011.12.027

Cited by 108 publications

(55 citation statements)

References 69 publications

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“…This propagation method provides the advantage of maintaining the sampling rate on both planes and being suitable for small distance propagation, contrary to other methods such as discrete Fresnel transforms [15]. This gives the advantage of reusing LUTs for all WRPs.…”

Section: Cgh Methods With Multiple Look-up Tablesmentioning

confidence: 97%

Speckle noise reduction for computer generated holograms of objects with diffuse surfaces

et al. 2016

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Digital holography is mainly used today for metrology and microscopic imaging and is emerging as an important potential technology for future holographic television. To generate the holographic content, computer-generated holography (CGH) techniques convert geometric descriptions of a 3D scene content. To model different surface types, an accurate model of light propagation has to be considered, including for example, specular and diffuse reflection. In previous work, we proposed a fast CGH method for point cloud data using multiple wavefront recording planes, look-up tables (LUTs) and occlusion processing. This work extends our method to account for diffuse reflections, enabling rendering of deep 3D scenes in high resolution with wide viewing angle support. This is achieved by modifying the spectral response of the light propagation kernels contained by the look-up tables. However, holograms encoding diffuse reflective surfaces depict significant amounts of speckle noise, a problem inherent to holography. Hence, techniques to improve the reduce speckle noise are evaluated in this paper. Moreover, we propose as well a technique to suppress the aperture diffraction during numerical, viewdependent rendering by apodizing the hologram. Results are compared visually and in terms of their respective computational efficiency. The experiments show that by modelling diffuse reflection in the LUTs, a more realistic yet computationally efficient framework for generating high-resolution CGH is achieved.

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Section: Cgh Methods With Multiple Look-up Tablesmentioning

confidence: 97%

Speckle noise reduction for computer generated holograms of objects with diffuse surfaces

et al. 2016

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“…Libraries for programming languages like C and C++ [13]; MATLAB and Mathematica notebooks, functions, and routines [14]; and commercial [15] and noncommercial software [16] are among the multiple choices available. However, most users are inclined to develop their own numerical wave propagation tools to cope with the specific needs of their application or because the post-propagation analysis demands very specialized image-processing tools.…”

Section: Introductionmentioning

confidence: 99%

Numerical wave propagation in ImageJ

2015

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An ImageJ plugin for numerical wave propagation is presented. The plugin provides ImageJ, the well-known software for image processing, with the capability of computing numerical wave propagation by the use of angular spectrum, Fresnel, and Fresnel-Bluestein algorithms. The plugin enables numerical wave propagation within the robust environment provided by the complete set of built-in tools for image processing available in ImageJ. The plugin can be used for teaching and research purposes. We illustrate its use to numerically recreate Poisson's spot and Babinet's principle, and in the numerical reconstruction of digitally recorded holograms from millimeter-sized and pure phase microscopic objects.

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“…Current high speed computers, particularly the emerging parallel computing architectures (e.g. GPU), make it possible to achieve close to real time reconstruction speed [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Special multicolor illumination and numerical tilt correction in volumetric digital holographic microscopy

Kiss¹,

Nagy²,

Lakatos³

et al. 2014

Opt. Express

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Abstract:We introduce a color imaging method in our digital holographic microscope system (DHM). This DHM can create color images of freely floating, or moving objects inside a large volume by simultaneously capturing three holograms using three different illumination wavelengths. In this DHM a new light source assembly is applied, where we use single mode fibers according to the corresponding wavelengths that are tightly and randomly arranged into a small array in a single FC/PC connector. This design has significant advantages over the earlier approaches, where all the used illuminations are coupled in the same fiber. It avoids the coupling losses and provides a cost effective, compact solution for multicolor coherent illumination. We explain how to determine and correct the different fiber end positions caused tilt aberration during the hologram reconstruction process. To demonstrate the performance of the device, color hologram reconstructions are presented that can achieve at least 1 µm lateral resolution.

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Computational wave optics library for C++: CWO++ library

Cited by 108 publications

References 69 publications

Speckle noise reduction for computer generated holograms of objects with diffuse surfaces

Speckle noise reduction for computer generated holograms of objects with diffuse surfaces

Numerical wave propagation in ImageJ

Special multicolor illumination and numerical tilt correction in volumetric digital holographic microscopy

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