Fast realistic refocusing for sparse light fields
Chao-Tsung Huang, Jui Chin, Hong-Hui Chen, Yu-Wen Wang, Liang-Gee Chen
Abstract
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.
BibTeX
@inproceedings{icassp2015_fastrealisticref,
title = {Fast realistic refocusing for sparse light fields},
author = {Chao-Tsung Huang and Jui Chin and Hong-Hui Chen and Yu-Wen Wang and Liang-Gee Chen},
booktitle = {ICASSP 2015},
year = {2015}
}