Paper
3 November 2014 Light field reconstruction robust to signal dependent noise
Author Affiliations +
Abstract
Capturing four dimensional light field data sequentially using a coded aperture camera is an effective approach but suffers from low signal noise ratio. Although multiplexing can help raise the acquisition quality, noise is still a big issue especially for fast acquisition. To address this problem, this paper proposes a noise robust light field reconstruction method. Firstly, scene dependent noise model is studied and incorporated into the light field reconstruction framework. Then, we derive an optimization algorithm for the final reconstruction. We build a prototype by hacking an off-the-shelf camera for data capturing and prove the concept. The effectiveness of this method is validated with experiments on the real captured data.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kun Ren, Liheng Bian, Jinli Suo, and Qionghai Dai "Light field reconstruction robust to signal dependent noise", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92731B (3 November 2014); https://doi.org/10.1117/12.2071785
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Interference (communication)

Spatial resolution

Cameras

Denoising

Charge-coupled devices

Algorithm development

Optimization (mathematics)

RELATED CONTENT

Demosaicking algorithm for the Kodak-RGBW color filter array
Proceedings of SPIE (February 08 2015)
MRI denoising via phase error estimation
Proceedings of SPIE (April 29 2005)
Multiscale wedgelet denoising algorithms
Proceedings of SPIE (September 17 2005)

Back to Top