Work

Autoencoder-based holographic image restoration

Year: 2017

Type: article

Abstract: We propose a holographic image restoration method using an autoencoder, which is an artificial neural network. Because holographic reconstructed images are often contaminated by direct light, conjugate light, and speckle noise, the discrimination of reconstructed images may be difficult. In this paper, we demonstrate the restoration of reconstructed images from holograms that record page data in holographic memory and quick response codes by using the proposed method.

Source: Applied Optics

DOI: 10.1364/ao.56.000f27

Authors: Tomoyoshi Shimobaba, Yutaka Endo, Ryuji Hirayama, Yuki Nagahama, Takayuki Takahashi, Takashi Nishitsuji, Takashi Kakue, Atsushi Shiraki, Naoki Takada, Nobuyuki Masuda, Tomoyoshi Ito

Institutions: Chiba University, University of Kochi, Kōchi University, Tokyo University of Science

Language: English

Topic: Digital Holography and Microscopy

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: Japan Society for the Promotion of Science

Awards: Real-time electroholography using time-division multiplexing method, and software development for gradation representation, Next-generation three-dimensional imaging and measurement by special-purpose computer system for holography, Special purpose computer system for three-dimensional measurement using digital holography technology, Research on real-time holographic projection for miniaturization

OpenAlex ID: W2563377173

FWCI: 1.618

Cites: 12

Cited by: 22

Related to: 10