Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT
Five-dimensional (5-D) light field videos (LFVs) capture spatial, angular, and temporal variations in light rays emanating from scenes. This leads to a significantly large amount of data compared to conventional three-dimensional videos, which capture only spatial and temporal variations in light ra...
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2025-01-01
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| author | Braveenan Sritharan Chamira U. S. Edussooriya Chamith Wijenayake R. J. Cintra Arjuna Madanayake |
| author_facet | Braveenan Sritharan Chamira U. S. Edussooriya Chamith Wijenayake R. J. Cintra Arjuna Madanayake |
| author_sort | Braveenan Sritharan |
| collection | DOAJ |
| description | Five-dimensional (5-D) light field videos (LFVs) capture spatial, angular, and temporal variations in light rays emanating from scenes. This leads to a significantly large amount of data compared to conventional three-dimensional videos, which capture only spatial and temporal variations in light rays. In this paper, we propose an LFV compression technique using low-complexity 5-D approximate discrete cosine transform (ADCT). To further reduce the computational complexity, our algorithm exploits the partial separability of LFV representations. It applies two-dimensional (2-D) ADCT for sub-aperture images of LFV frames with intra-view and inter-view configurations. Furthermore, we apply one-dimensional ADCT to the temporal dimension. We evaluate the performance of the proposed LFV compression technique using several 5-D ADCT algorithms, and the exact 5-D discrete cosine transform (DCT). The experimental results obtained with LFVs confirm that the proposed LFV compression technique provides a more than 250 times reduction in the data size with near-lossless fidelity with a peak-signal-to-noise ratio greater than 40 dB and structural similarity index greater than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.9</mn></mrow></semantics></math></inline-formula>. Furthermore, compared to the exact DCT, our algorithms requires approximately 10 times less computational complexity. |
| format | Article |
| id | doaj-art-8d0e711302df4f8ea273069c10c04222 |
| institution | Kabale University |
| issn | 2079-9268 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| series | Journal of Low Power Electronics and Applications |
| spelling | doaj-art-8d0e711302df4f8ea273069c10c042222025-08-20T03:43:16ZengMDPI AGJournal of Low Power Electronics and Applications2079-92682025-01-01151210.3390/jlpea15010002Computationally Efficient Light Field Video Compression Using 5-D Approximate DCTBraveenan Sritharan0Chamira U. S. Edussooriya1Chamith Wijenayake2R. J. Cintra3Arjuna Madanayake4Department of Electronic and Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri LankaDepartment of Electronic and Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri LankaSchool of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, AustraliaDepartment of Technology, Universidade Federal de Pernambuco, Caruaru 50670-901, BrazilDepartment of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USAFive-dimensional (5-D) light field videos (LFVs) capture spatial, angular, and temporal variations in light rays emanating from scenes. This leads to a significantly large amount of data compared to conventional three-dimensional videos, which capture only spatial and temporal variations in light rays. In this paper, we propose an LFV compression technique using low-complexity 5-D approximate discrete cosine transform (ADCT). To further reduce the computational complexity, our algorithm exploits the partial separability of LFV representations. It applies two-dimensional (2-D) ADCT for sub-aperture images of LFV frames with intra-view and inter-view configurations. Furthermore, we apply one-dimensional ADCT to the temporal dimension. We evaluate the performance of the proposed LFV compression technique using several 5-D ADCT algorithms, and the exact 5-D discrete cosine transform (DCT). The experimental results obtained with LFVs confirm that the proposed LFV compression technique provides a more than 250 times reduction in the data size with near-lossless fidelity with a peak-signal-to-noise ratio greater than 40 dB and structural similarity index greater than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.9</mn></mrow></semantics></math></inline-formula>. Furthermore, compared to the exact DCT, our algorithms requires approximately 10 times less computational complexity.https://www.mdpi.com/2079-9268/15/1/2light field videoscompressionapproximate discrete cosine transformlow complexity |
| spellingShingle | Braveenan Sritharan Chamira U. S. Edussooriya Chamith Wijenayake R. J. Cintra Arjuna Madanayake Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT Journal of Low Power Electronics and Applications light field videos compression approximate discrete cosine transform low complexity |
| title | Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT |
| title_full | Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT |
| title_fullStr | Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT |
| title_full_unstemmed | Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT |
| title_short | Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT |
| title_sort | computationally efficient light field video compression using 5 d approximate dct |
| topic | light field videos compression approximate discrete cosine transform low complexity |
| url | https://www.mdpi.com/2079-9268/15/1/2 |
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