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2020 Fiscal Year Final Research Report

Optimization-based hologram image processing framework

Research Project

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Project/Area Number 19K20293
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 61010:Perceptual information processing-related
Research InstitutionKanazawa University

Principal Investigator

Endo Yutaka  金沢大学, 機械工学系, 助教 (50803293)

Project Period (FY) 2019-04-01 – 2021-03-31
Keywordsホログラフィ / 画像処理 / 画像再構成 / 最適化
Outline of Final Research Achievements

Digital holography is an imaging technique using holographic image recording and computational image reconstruction. In digital holography, the development cost of a high-performance image processing system is increasing because the image processing system must be customized to a specific optical system. In this study, we developed a scalable and high-performance image processing framework for digital holography. In the framework, image reconstruction is cast as an optimization problem and solved by proximal splitting algorithms. We applied the framework to inline digital holography and single-pixel digital holography to verify its effectiveness.

Free Research Field

情報光学

Academic Significance and Societal Importance of the Research Achievements

デジタルホログラフィは対象の3次元情報をレンズレスで取得できる技術であり,広視野・高分解能・高速な3次元観察を実現できる技術として幅広い分野で活用されている.特に,コントラストの低い透明試料を染色せずに観察できるため,生命科学や医療分野での活用が期待されている.本研究で開発したフレームワークは,デジタルホログラフィに基づく計測システム全般で広く活用でき,その画像処理システム開発の容易化・高性能化に貢献するものである.

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Published: 2022-01-27  

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