Regularized super resolution methods for light field images

Shubo Zhou; Yan Yuan; Lijuan Su

doi:10.1117/12.2037553

19 December 2013 Regularized super resolution methods for light field images

Shubo Zhou, Yan Yuan, Lijuan Su

Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 90450E (2013) https://doi.org/10.1117/12.2037553
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China

Abstract

As the LR images from the plenoptic camera is greatly constrained by the number of micro-lenses, we can apply the multi-frame super resolution methods to enhance the spatial resolution. Multi-frame super resolution reconstruction is a technology which obtains a high resolution image from several low resolution images of the same scene. Among various super resolution methods, the regularized methods are widely used since they have advantages for solving the ill posed problems. In this paper, some regularized super resolution methods are applied to enhance the spatial resolution of the light field image. The reconstruction results of synthetic low resolution images confirm that all the regularized super resolution algorithm can suppress the Gaussian noise and preserve the edge information. The real data experiment results also confirm the effectiveness of the applied algorithms.

Citation Download Citation

Shubo Zhou, Yan Yuan, and Lijuan Su "Regularized super resolution methods for light field images", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90450E (19 December 2013); https://doi.org/10.1117/12.2037553

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