Oliver (Ollie) Cossairt, Lisa Wissner-Slivka and Benjamin Slivka Junior Professor of Computer Science and EECS Student Nathan Matsuda (Ph.D) have earned the 2014 IEEE International Conference on Computational Photography (ICCP) Honorable Mention Award for their paper, titled, "Digital Refocusing using Incoherent Holography."
The ICCP 2014 conference was held on May 2-4, 2014 in Santa Clara, CA and is organized with the vision of fostering the community of researchers, from many different disciplines, working on computational photography.
Paper Description: Light field cameras allow us to digitally refocus a photograph after the time of capture. However, capturing a light field results in a significant loss in spatial resolution. In this paper, we propose incoherent holography for digital refocusing without loss of spatial resolution. The main idea is to capture 2D coherent holograms of the scene instead of the 4D light fields. The key properties of coherent light propagation are that the coherent spread function (hologram of a single point source) encodes scene depths and has a broadband spatial frequency response. These properties enable digital refocusing with 2D coherent holograms, which can be captured on sensors without loss of spatial resolution. Incoherent holography does not require illuminating the scene with high power coherent laser, making it possible to acquire holograms even for passively illuminated scenes. We provide an in-depth performance comparison between light field and incoherent holographic cameras in terms of the signal-to-noise-ratio (SNR). We show that given the same sensing resources, an incoherent holography camera outperforms light field cameras in most real world settings. We demonstrate a prototype incoherent holography camera capable of performing digital refocusing from only 3 acquired images. We show results on a variety of scenes that verify the accuracy of our theoretical analysis.