Prof. Shunichi Sato Profile

Prof. Shunichi Sato

at Tokyo Univ. of Science

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 1 May 2022 Paper

Imaging method using multi-threshold pattern for photon detection of quanta image sensor

Shuichi Namiki, Shunichi Sato, Yusuke Kameda, Takayuki Hamamoto

Proceedings Volume 12177, 1217702 (2022) https://doi.org/10.1117/12.2625974

KEYWORDS: Signal to noise ratio, Image sensors, Photodetectors, Denoising, Image processing, Edge detection, Image quality, Temporal resolution, Statistical analysis, Sensors

Read Abstract +

In recent years, the development of quanta image sensor (QIS), which can observe the amount of incident light intensity in units of photons, has been progressing. In QIS imaging, a large number of photon incident observations are performed in spatiotemporal direction, and multivalued images are obtained by reconstruction processing. In this observation, the binary value is output according to whether the number of incident photons exceeds a certain natural number of threshold preset in the minute photon detector (jot). In many existing methods for QIS imaging, a uniform threshold is set for all jots, the reconstructed multivalued image may be overexposed or underexposed. On the other hand, the method of setting an optimal threshold for each local region according to the scene requires time for adjustment, which leads to a decrease in temporal resolution. In this paper, we propose an imaging method that always accurately captures a wide range of light intensity from low to high by introducing a periodic pattern consisting of multiple thresholds. Since we do not adjust the threshold according to the scene, we can fundamentally avoid the degradation of temporal resolution. In addition, since the threshold applied to jots has a variety of values, it is possible to acquire a high-quality multivalued image even with a small number of photon incident observations. Our proposed method consists of three components: multivalued image reconstruction and noise reduction taking into account the characteristics of photon incident observation, and optimization of the periodic pattern.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years