BCH Coding Assisted Imaging

Fuente: arXiv

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Autori principali:	Jiang, Hao, Liu, Shuang, Yue, Chentao, Lin, Zihuai
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Optics
Accesso online:	Acceder al recurso
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author	Jiang, Hao Liu, Shuang Yue, Chentao Lin, Zihuai
author_facet	Jiang, Hao Liu, Shuang Yue, Chentao Lin, Zihuai
contents	In modern correlation imaging systems, also known as ghost imaging (GI), particularly under low-light or noisy conditions, preserving high image fidelity presents a significant challenge. This paper introduces an innovative approach by integrating Bose-Chaudhuri-Hocquenghem (BCH) error control coding (ECC) into CGI systems to assist imaging. By encoding target image with BCH codes and using order-statistic decoding (OSD) for error correction during reconstruction, this approach significantly improves image quality across various signal-to-noise ratio (SNR) conditions. Simulation and experiment results validate that BCH coding assisted imaging achieves significantly enhanced robustness against additive white Gaussian noise (AWGN) and improved image reconstruction quality. In addition, the imaging performance of different BCH codes varies, with each code exhibiting distinct advantages based on factors such as code length and coding efficiency.
format	Preprint
id	arxiv_https___arxiv_org_abs_2602_23768
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	BCH Coding Assisted Imaging Jiang, Hao Liu, Shuang Yue, Chentao Lin, Zihuai Optics In modern correlation imaging systems, also known as ghost imaging (GI), particularly under low-light or noisy conditions, preserving high image fidelity presents a significant challenge. This paper introduces an innovative approach by integrating Bose-Chaudhuri-Hocquenghem (BCH) error control coding (ECC) into CGI systems to assist imaging. By encoding target image with BCH codes and using order-statistic decoding (OSD) for error correction during reconstruction, this approach significantly improves image quality across various signal-to-noise ratio (SNR) conditions. Simulation and experiment results validate that BCH coding assisted imaging achieves significantly enhanced robustness against additive white Gaussian noise (AWGN) and improved image reconstruction quality. In addition, the imaging performance of different BCH codes varies, with each code exhibiting distinct advantages based on factors such as code length and coding efficiency.
title	BCH Coding Assisted Imaging
topic	Optics
url	https://arxiv.org/abs/2602.23768

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