Abstract
A 5-D depth–velocity filter is proposed for enhancing moving objects in noisy light field videos (LFVs) (also known as plenoptic videos). The proposed filter consists of an ultra-low complexity 5-D IIR depth filter and a 5-D FIR velocity filter. The 5-D IIR depth filter is employed to denoise a noisy LFV. The denoised LFV is then utilized to estimate the 3-D apparent velocity of the moving object of interest. The 5-D FIR velocity filter is designed based on the estimated 3-D apparent velocity and is used to enhance the moving object of interest while attenuating other interfering moving objects. Experimental results confirm the effectiveness of the proposed 5-D depth–velocity filter compared to previously reported 5-D depth–velocity filters.
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Acknowledgments
The authors thank to Ms. Ioana Sevcenco and Mr. Hussam Shubayli for helping in generating the Lytro-LF-camera-based LFV used in the experiments. Furthermore, a special thank goes to Dr. Donald Dansereau for providing the MATLAB LFToolbox to decode the static LFs of the Lytro-LF-camera-based LFV.
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The authors gratefully acknowledge the financial support of the Natural Sciences and Engineering Research Council (NSERC) of Canada.
Appendix: Derivation of the ideal infinite-extent impulse response \(g_{uvt}^{I}(\bar{n}_u,\bar{n}_v,\bar{n}_t)\)
Appendix: Derivation of the ideal infinite-extent impulse response \(g_{uvt}^{I}(\bar{n}_u,\bar{n}_v,\bar{n}_t)\)
Following Pei and Jaw (1994), the ideal infinite-extent impulse response \(g_{uvt}^{I}(\bar{n}_u,\bar{n}_v,\bar{n}_t)\) can be derived as
where \(a=\tan (\theta )\).
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Edussooriya, C.U.S., Bruton, L.T. & Agathoklis, P. A novel 5-D depth–velocity filter for enhancing noisy light field videos. Multidim Syst Sign Process 28, 353–369 (2017). https://doi.org/10.1007/s11045-016-0460-x
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DOI: https://doi.org/10.1007/s11045-016-0460-x