Ms. Jiao Jiao Profile

Jiao Jiao

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 | 13 June 2024 Paper

Detail-preserving multi-scale exposure fusion via edge-preserving smoothing pyramids

Xinli Zhu, Yasheng Zhang, Yuqing Fang, Jiao Jiao, Qiwei Fu, Pengju Li, Wanyun Li

Proceedings Volume 13180, 131801V (2024) https://doi.org/10.1117/12.3034003

KEYWORDS: Image fusion, Windows, Image filtering, Tunable filters, Image quality, High dynamic range imaging, Visualization, Image restoration, Lithium, Feature fusion

Read Abstract +

Multi-scale exposure fusion is an effective way to directly fuse low dynamic range (LDR) image with different exposures into a content-rich LDR image for high dynamic range (HDR) reconstruction. Previous researches have shown that edge-preserving smoothing can be used to improve multi-scale exposure fusion. However, multi-scale exposure fusion via edge-preserving smoothing pyramids suffers from loss of details. To address this issue, we propose a side window gradient guided image filtering (SGGIF) and use it to construct an edge-preserving smooth pyramid. First, by adding eight kernels to the gradient guided image filtering(GGIF), a SGGIF with effective edge preserving is developed. Furthermore, we select the weight map with the minimum mean as the guidance image, which can further preserve details in the brightest and darkest regions of HDR scenes. Finally, we developed a detail-preserving multi-scale exposure fusion method based on edge-preserving smooth pyramids. Experimental results indicate that our method can effectively preserve details and reduce halo artifacts. Both quantitative and qualitative analyses demonstrate the effectiveness of our proposed approach.

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