Mr. Zhibang Ma Profile

Zhibang Ma

at Zhengzhou Univ

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 | 7 November 2018 Paper

Single-band spectral light field images reconstruction based on compressed sensing

Xiaomin Liu, Zhibang Ma, Qiancheng Wang, Yunfei Zhu, Mengzhu Du, Xin Qi, Pengbo Chen

Proceedings Volume 10832, 108320H (2018) https://doi.org/10.1117/12.2506601

KEYWORDS: Compressed sensing, Reconstruction algorithms, Image restoration, Image processing, Image compression, Cameras, Imaging spectroscopy, 3D image processing, Spatial resolution

Read Abstract +

For solving the difficulty of acquiring single-band spectral light field images, the spectral light field images using compressed sensing based on overcomplete dictionary is proposed and simulated. Firstly, multiple sets of light field images are collected as a sample set for training overcomplete dictionary, and the overcomplete dictionary is generated by training the sample set. Then, using random matrix of periodic arrangement as the measurement matrix to realize the reduced-dimensional sampling of the signal. Finally, single-band spectral light field images are reconstructed using compressed sensing reconstruction algorithm. The peak signal to noise ratio of the reconstructed images is 30.5 dB. The experimental results show that the spectral light field image reconstructed by this method has sufficient parallax and can recover the spectral information carried by the image. And the sampling rate of this method proposed is only 4% of the image size. This method proposed effectively solves the problems that the image capturing process of the spectral light field is complicated and the data volume is large. This method provides a new way to reconstruct high-resolution single- band spectral light field images with low sampling rate, and provides experimental data and new ideas to further increase the depth information of spectral images for generating 3D spectral images.

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