Deep learning-enhanced fusion of low coherence optical interferometry and ghost imaging

Alifu Xiafukaiti; Huyan Decai; Masato Gocho; Ryuhei Takahashi; Tatsuo Shiina

doi:10.1117/12.3031579

19 November 2024 Deep learning-enhanced fusion of low coherence optical interferometry and ghost imaging

Alifu Xiafukaiti, Huyan Decai, Masato Gocho, Ryuhei Takahashi, Tatsuo Shiina

Proceedings Volume 13196, Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX; 131960Y (2024) https://doi.org/10.1117/12.3031579
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Conference Poster

Abstract

Non-contact and non-invasive target detection in scattering media is a crucial task for advancements in biomedical imaging and environmental measurements. A novel sensing approach which combination of Michelson interferometer and ghost imaging (MIGI) is designed and developed for reconstructing the real image of target sample in scattering media. The limitations of optical interferometry, such as the need of scanning time for two-dimension measurements, and the inability of ghost imaging to capture cross-sectional images, can be effectively mitigated through their combination. However, this technique necessitates numerous illuminations of random structured light in ghost imaging to reconstruct the image of the target with high quality, thereby extending the measurement time. To address this issue and facilitate real-time measurement in MIGI, we reconstructed the real image close to the target sample being measured by passing degraded images obtained through short-term measurement through deep learning. This approach significantly reduces the number of measurements required to obtain a clear image in the simulation by 90%. In practical experiments, the number of measurements needed to achieve an equivalent structural similarity index method (SSIM) value is reduced. This paper discusses analysis of measurement time and SSIM based on the values of the dataset used for model construction.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Alifu Xiafukaiti, Huyan Decai, Masato Gocho, Ryuhei Takahashi, and Tatsuo Shiina "Deep learning-enhanced fusion of low coherence optical interferometry and ghost imaging", Proc. SPIE 13196, Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX, 131960Y (19 November 2024); https://doi.org/10.1117/12.3031579

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available