Mr. Xi Chen Profile

Xi Chen

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 | 4 October 2024 Presentation + Paper

Novel approach to coherent imaging in the presence of speckle noise

Xi Chen, Christopher Metzler, Arian Maleki, Shirin Jalali

Proceedings Volume 13149, 1314908 (2024) https://doi.org/10.1117/12.3027824

KEYWORDS: Speckle, Deblurring, Coherence imaging, Reconstruction algorithms, Signal to noise ratio, Imaging systems, Neural networks

Read Abstract +

In coherent imaging systems like SAR and digital holography, speckle noise is effectively mitigated using the multilook or multishot approach. Utilizing maximum likelihood estimation (MLE), we recently theoretically and algorithmically showed the feasibility of effectively recovering a signal from multilook measurements, even when each look is severely under-determined . Our method leverages the "Deep Image Prior (DIP) hypothesis," which posits that images can be effectively represented within untrained neural networks with fewer parameters than the total pixel count, using i.i.d. noises as inputs. We also developed a computationally efficient algorithm inspired by projected gradient descent to solve the MLE optimization, incorporating a model bagged-DIP concept for the projection step. This paper explores the method's applicability to deblurring in coherent imaging, where the forward model involves a blurring kernel amidst speckle noise—a significant challenge with broad applications. We introduce a novel iterative algorithm to address these issues, enabling multi-look deblurring without simplifying or approximating the MLE cost function.

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