Logo image
Fast realistic refocusing for sparse light fields
Conference paper

Fast realistic refocusing for sparse light fields

Chao-Tsung Huang, Jui Chin, Hong-Hui Chen, Yu-Wen Wang and Liang-Gee Chen
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol.2015-August, pp.1176-1180
04/08/2015

Abstract

light field refocus view interpolation
Digital refocusing for sparsely sampled light fields results in aliasing effect. For realistic quality, previous works performed anti-aliasing by applying time-consuming view interpolation for a heuristic number of novel views. In this paper, we study this problem by first performing a spectral analysis to give an analytical rule for the novel view number, which saves 34% of views compared to the intuitional choice. Then we propose a fast refocusing algorithm using a view interpolation method which is about 30x faster than VSRS-1D-Fast. Experimental results show the effectiveness of our approach in terms of speed and quality. For showing realistic refocusing, a light-field wafer-level-optics array is implemented, and its refocused images are compared to pictures captured by a real camera. © 2015 IEEE.

Metrics

1 Record Views

Details

Logo image