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Featured researches published by Zu-jie Peng.


Optics Letters | 2009

Digital holographic reconstruction of large objects using a convolution approach and adjustable magnification

Junchang Li; Patrice Tankam; Zu-jie Peng; Pascal Picart

We present a numerical method for reconstructing large objects using a convolution method with an adjustable magnification. The method is based on the image locations and magnification relations of holography when the illuminating beam is a spherical wavefront. A modified version of the angular spectrum transfer function is proposed that allows the filtering in the spatial frequency spectrum. Experimental results confirm the suitability of the proposed method.


Optics Express | 2009

Spatial bandwidth extended reconstruction for digital color Fresnel holograms

Pascal Picart; Patrice Tankam; Denis Mounier; Zu-jie Peng; Junchang Li

This paper presents a reconstruction algorithm based on the convolution formula of diffraction which uses the Fresnel impulse response of free space propagation. The bandwidth of the reconstructing convolution kernel is extended to the one of the object in order to allow the direct reconstruction of objects with size quite larger than the recording area. The spatial bandwidth extension is made possible by the use of a numerical spherical wave as a virtual reconstructing wave, thus modifying the virtual reconstruction distance and increasing the kernel bandwidth. Experimental results confirm the suitability of the proposed method in the case of the simultaneous recording of two-color digital holograms by using a spatial color multiplexing scheme.


Journal of The Optical Society of America A-optics Image Science and Vision | 2011

Digital holographic reconstruction of a local object field using an adjustable magnification

Junchang Li; Zu-jie Peng; Patrice Tankam; Qinghe Song; Pascal Picart

In the research of digital holography, this paper presents a numerical method using an adjustable magnification for local object field reconstruction together with experiment verification. The method first designs a spherical wave according to the given magnification to illuminate the digital hologram, then through a Fourier transform of diffraction, it calculates the reconstructed image plane. Afterward, a filtering window is set in the image plane to extract the image of the local object field, and then the object field reached hologram plane is formed using diffractions inverse operation. Finally, the object field is reconstructed through diffractions angular spectrum theory.


SPECKLE 2015: VI International Conference on Speckle Metrology | 2015

A simple and efficient algorithm to reconstruct digital color holograms

Junchang Li; Qinghe Song; Zu-jie Peng; Pascal Picart

This paper presents a reconstruction algorithm based on an intermediate digital hologram which leads to the reconstruction of the image of the object with a controlled sampling pitch and number of pixels. The final image is obtained by calculating the diffraction from the intermediate hologram plane to the image plane using the convolution approach. Experimental results confirm the suitability of the proposed method. The calculation time is slightly better than the other similar approaches. Application in digital color holographic imaging shows that the proposed algorithm provides full color images of colored objects.


Digital Holography & 3-D Imaging Meeting (2015), paper DW2A.2 | 2015

Digital color holographic reconstruction based on a virtual digital hologram

Pascal Picart; Junchang Li; Qinghe Song; Zu-jie Peng

This paper presents a reconstruction algorithm based on an intermediate virtual digital hologram that can reconstruct color images with a controlled sampling pitch and pixel number. Experimental results confirm the suitability of the proposed method.


Proceedings of SPIE, the International Society for Optical Engineering | 2010

Speckle amplitude and phase recovering with bandwidth-extended digital holographic algorithms

Pascal Picart; Patrice Tankam; Zu-jie Peng; Junchang Li

New double FFT convolution algorithms based on the use of spatial spectrum scanning or numerical spherical reconstruction wave allow the full complex amplitude of large objects to be reconstructed. Experimental results in color holography and contact less metrology validate the proposed methods.


Digital Holography and Three-Dimensional Imaging | 2010

Recovering of Complex Amplitude by Use of Bandwidth-Adapted Double FFT Algorithms

Pascal Picart; Patrice Tankam; Zu-jie Peng; Junc-chang Li

Double FFT convolution algorithms based on the use of spectrum scanning and spherical reconstruction wave allow complex amplitude of large objects to be reconstructed. Experimental results in color holography illustrate the advantages of the method.


Proceedings of SPIE, the International Society for Optical Engineering | 2007

A sample test on the tilt angle of object light illumination in the digital holographic 3D surface shape detection

Zu-jie Peng; Qinghe Song; Junchang Li

This paper discussed the measurement error of digital holographic 3D surface shape caused by imprecise measurement of the incident angle and the tilt angle of object light illumination in theory. The result showed that the error caused by the tilt angle is much greater than the incident angle. Then a method to accurately calculate the object lights tilt angle by detecting the interference field of reference plane is proposed based on the above discussion. Finally, the feasibility of the method is proved through a 3D surface shape detection experiment.


Optics Communications | 2007

Diffraction transfer function and its calculation of classic diffraction formula

Junchang Li; Zu-jie Peng; Yunchang Fu


Optics Communications | 2010

Design of the spatial filter window for digital holographic convolution reconstruction of object beam field

Junchang Li; Zu-jie Peng; Patrice Tankam; Pascal Picart

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Junchang Li

Kunming University of Science and Technology

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Pascal Picart

Centre national de la recherche scientifique

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Qinghe Song

Kunming University of Science and Technology

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Denis Mounier

Centre national de la recherche scientifique

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Yunchang Fu

Kunming University of Science and Technology

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