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, Kun Ren, Liheng Bian, Liheng Bian, Jinli Suo, Jinli Suo, Qionghai Dai, Qionghai Dai, } "Light field reconstruction robust to signal dependent noise", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92731B (3 November 2014); doi: 10.1117/12.2071785; https://doi.org/10.1117/12.2071785
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

MRI denoising via phase error estimation
Proceedings of SPIE (April 29 2005)
Multiscale wedgelet denoising algorithms
Proceedings of SPIE (September 17 2005)
Design of coded aperture arrays by means of a global...
Proceedings of SPIE (September 07 2006)
Role of positivity for error reduction in images
Proceedings of SPIE (December 30 1994)

Back to Top