scholarly journals Fast Image Reconstruction Technique for Parallel Phase-Shifting Digital Holography

2021 ◽  
Vol 11 (23) ◽  
pp. 11343
Author(s):  
Masahiro Tsuruta ◽  
Tomotaka Fukuyama ◽  
Tatsuki Tahara ◽  
Yasuhiro Takaki

For incoherent and coherent digital holography, the parallel phase-shifting technique has been used to reduce the number of exposures required for the phase-shifting technique which eliminates zero-order diffraction and conjugates image components. Although the parallel phase-shifting technique can decrease the hologram recording time, the image interpolations require additional calculation time. In this study, we propose a technique that reduces the calculation time for image interpolations; this technique is based on the convolution theorem. We experimentally verified the proposed technique and compared it with the conventional technique. The proposed technique is more effective for more precise interpolation algorithms because the calculation time does not depend on the size of interpolation kernels.

2006 ◽  
Vol 326-328 ◽  
pp. 27-30
Author(s):  
Xin Kang ◽  
Xiao Yuan He ◽  
Cho Jui Tay ◽  
C. Quan

Phase-shifting technique is an effect way to suppress the zero order diffraction and the conjugate term in digital holography. However the phase-shifting error will influence inevitably the evaluation precision in practice operation. In this paper, the deformation evaluation errors by means of two kinds of four-step phase-shifting algorithms, which are in common use in digital holography, are analyzed and compared by computer simulation. In addition, the phase-shifting errors may cumulate or not according to different phase-shifting techniques, and both cases are considered in this paper. The results based on the digital in-line holography show that the two four-step phase-shifting algorithms possess different sensitivity to the phase-shifting errors, and the preferable one, which is more immune to the phase-shifting errors, is educed in conclusion.


2008 ◽  
Author(s):  
Eliang Dong ◽  
Xin Kang ◽  
Jianan Chi ◽  
Xiaoyuan He

AIP Advances ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 105212
Author(s):  
Agnieszka Siemion ◽  
Linas Minkevičius ◽  
Domas Jokubauskis ◽  
Rusnė Ivaškevičiūtė-Povilauskienė ◽  
Gintaras Valušis

2015 ◽  
Vol 8 (3) ◽  
pp. 161
Author(s):  
Samuel Gideon

This research was conducted as a learning alternatives for study of CT (computed tomograpghy) imaging using image reconstruction technique which are inversion matrix, back projection and filtered back projection. CT imaging can produce images of objects that do not overlap. Objects more easily distinguishable although given the relatively low contrast. The image is generated on CT imaging is the result of reconstruction of the original object. Matlab allows us to create and write imaging algorithms easily, easy to undersand and gives applied and exciting other imaging features. In this study, an example cross-sectional image recon-struction performed on the body of prostate tumors using. With these methods, medical prac-titioner (such as oncology clinician, radiographer and medical physicist) allows to simulate the reconstruction of CT images which almost resembles the actual CT visualization techniques.Keywords : computed tomography (CT), image reconstruction, Matlab


2010 ◽  
Vol 6 (10) ◽  
pp. 472-478 ◽  
Author(s):  
Takashi Kakue ◽  
Kenichi Ito ◽  
Tatsuki Tahara ◽  
Yasuhiro Awatsuji ◽  
Kenzo Nishio ◽  
...  

2006 ◽  
Author(s):  
Sang Keun Gil ◽  
Seok Hee Jeon ◽  
Nam Kim ◽  
Jong Rae Jeong

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