Gamma-ray Image Noise Generation Using Energy-Image Converter Based on Image Histogram

Ren Komatsu, Hanwool Woo, Yusuke Tamura, Atsushi Yamashita, Hajime Asama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

We propose a novel method to simulate image noise caused by gamma-ray irradiation. Monte Carlo simulation is utilized to calculate the interaction between the gamma-ray and the image sensor, and the energy deposit in each pixel is estimated. A converter module is proposed for generating image noise from the energy deposit. The conversion is designed so that the converted energy deposit has a similar image histogram to the real gamma-ray image noise. The real gamma-ray image noise is obtained by using circular fisheye cameras in gamma-ray irradiation tests. We demonstrate the effectiveness of the proposed method in experiments. We believe that this study would be beneficial for the development of methods for decommissioning the Fukushima Daiichi Nuclear Power Plant by the research community. Our source code is available at https://github.com/matsuren/pixel_noise_sim_geant4.

Original languageEnglish
Title of host publication2021 IEEE/SICE International Symposium on System Integration, SII 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages93-99
Number of pages7
ISBN (Electronic)9781728176581
DOIs
Publication statusPublished - 2021 Jan 11
Event2021 IEEE/SICE International Symposium on System Integration, SII 2021 - Virtual, Iwaki, Fukushima, Japan
Duration: 2021 Jan 112021 Jan 14

Publication series

Name2021 IEEE/SICE International Symposium on System Integration, SII 2021

Conference

Conference2021 IEEE/SICE International Symposium on System Integration, SII 2021
Country/TerritoryJapan
CityVirtual, Iwaki, Fukushima
Period21/1/1121/1/14

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