Sequential on-line construction for ensemble phase-retrieved images

Katsuya Ichihashi, Hiroyuki Shioya, Daiki Yamamoto, Yosuke Maehara, Kazutoshi Gohara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2017 International Conference on Biometrics and Kansei Engineering, ICBAKE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-168
Number of pages6
ISBN (Electronic)9781538634004
DOIs
Publication statusPublished - Oct 30 2017
Externally publishedYes
Event5th International Conference on Biometrics and Kansei Engineering, ICBAKE 2017 - Kyoto, Japan
Duration: Sept 15 2017Sept 17 2017

Publication series

NameProceedings of 2017 International Conference on Biometrics and Kansei Engineering, ICBAKE 2017

Conference

Conference5th International Conference on Biometrics and Kansei Engineering, ICBAKE 2017
Country/TerritoryJapan
CityKyoto
Period9/15/179/17/17

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Computer Networks and Communications

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