期刊
IEEE SIGNAL PROCESSING LETTERS
卷 28, 期 -, 页码 31-35出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2020.3043990
关键词
Light fields; low complexity; multi-dimensional FIR filters; sparse filters; volumetric refocusing
This letter introduces a method for simultaneous refocusing of multiple volumetric regions in light fields, utilizing a 4-D sparse FIR filter. Experimental results show a 63% reduction in computational complexity compared to traditional methods, with negligible degradation in the accuracy of refocused images.
Geometric information of scenes available with four-dimensional (4-D) light fields (LFs) paves the way for post-capture refocusing. Light field refocusing methods proposed so far have been limited to a single planar or a volumetric region of a scene. In this letter, we demonstrate simultaneous refocusing of multiple volumetric regions in LFs. To this end, we employ a 4-D sparse finite-extent impulse response (FIR) filter consisting of multiple hyperfan-shaped passbands. We design the 4-D sparse FIR filter as an optimal filter in the least-squares sense. Experimental results confirm that the proposed filter provides 63% average reduction in computational complexity with negligible degradation in the fidelity of multi-volumetric refocused LFs compared to a 4-D nonsparse FIR filter.
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