TY - GEN
T1 - Sequential on-line construction for ensemble phase-retrieved images
AU - Ichihashi, Katsuya
AU - Shioya, Hiroyuki
AU - Yamamoto, Daiki
AU - Maehara, Yosuke
AU - Gohara, Kazutoshi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/30
Y1 - 2017/10/30
N2 - The reconstruction of a target image from its diffraction pattern is referred to as 'diffractive imaging,' and this has been focused as a new microscopy. Fourier phase retrieval is required during the imaging process by means of numerical computations using computers. However, it is difficult to establish a complete convergence using an incomplete diffraction pattern such as experimental data in the retrieving process. A simple averaging procedure by weak phase-retrieved results using different initials is often used. Recently, the spherical shell structure of the retrieved images has been investigated and the center of the shell is to be a superior retrieved result. Therefore, it is important to construct such a structure by the retrieved images in order to reconstruct the target image. In this paper, a novel sequential on-line algorithm for effectively constructing the spherical shell structure of the images is introduced. A numerical demonstration is also presented using the Fourier intensities contaminated with Poisson noise.
AB - The reconstruction of a target image from its diffraction pattern is referred to as 'diffractive imaging,' and this has been focused as a new microscopy. Fourier phase retrieval is required during the imaging process by means of numerical computations using computers. However, it is difficult to establish a complete convergence using an incomplete diffraction pattern such as experimental data in the retrieving process. A simple averaging procedure by weak phase-retrieved results using different initials is often used. Recently, the spherical shell structure of the retrieved images has been investigated and the center of the shell is to be a superior retrieved result. Therefore, it is important to construct such a structure by the retrieved images in order to reconstruct the target image. In this paper, a novel sequential on-line algorithm for effectively constructing the spherical shell structure of the images is introduced. A numerical demonstration is also presented using the Fourier intensities contaminated with Poisson noise.
UR - http://www.scopus.com/inward/record.url?scp=85041215311&partnerID=8YFLogxK
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U2 - 10.1109/ICBAKE.2017.8090636
DO - 10.1109/ICBAKE.2017.8090636
M3 - Conference contribution
AN - SCOPUS:85041215311
T3 - Proceedings of 2017 International Conference on Biometrics and Kansei Engineering, ICBAKE 2017
SP - 163
EP - 168
BT - Proceedings of 2017 International Conference on Biometrics and Kansei Engineering, ICBAKE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Biometrics and Kansei Engineering, ICBAKE 2017
Y2 - 15 September 2017 through 17 September 2017
ER -