Fast realistic refocusing for sparse light fields

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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.

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Huang, C. T., Chin, J., Chen, H. H., Wang, Y. W., & Chen, L. G. (2015). Fast realistic refocusing for sparse light fields. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2015-August, pp. 1176–1180). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICASSP.2015.7178155

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