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.