High-Resolution Hogel Image Generation Using GPU Acceleration
-д хадгалсан:
| -д хэвлэсэн: | Photonics vol. 12, no. 9 (2025), p. 882-895 |
|---|---|
| Үндсэн зохиолч: | |
| Бусад зохиолчид: | , |
| Хэвлэсэн: |
MDPI AG
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| Нөхцлүүд: | |
| Онлайн хандалт: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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MARC
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|---|---|---|---|
| 001 | 3254624686 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2304-6732 | ||
| 024 | 7 | |a 10.3390/photonics12090882 |2 doi | |
| 035 | |a 3254624686 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231546 |2 nlm | ||
| 100 | 1 | |a Kang Hyunmin |u Digital Healthcare Center, Gumi Electronics & Information Technology Research Institute, Gumi 39253, Republic of Korea; khm@geri.re.kr | |
| 245 | 1 | |a High-Resolution Hogel Image Generation Using GPU Acceleration | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a A holographic stereogram displays reconstructed 3D images by rearranging multiple 2D viewpoint images into small holographic pixels (hogels). However, conventional CPU-based hogel generation processes these images sequentially, causing computation times to soar with as the resolution and number of viewpoints increase, which makes real-time implementation difficult. In this study, we introduce a GPU-accelerated parallel processing method to speed up the generation of high-resolution hogel images and achieve near-real-time performance. Specifically, we implement the pixel-rearrangement algorithm for multiple viewpoint images as a CUDA-based GPU kernel, designing it so that thousands of threads process individual pixels simultaneously. We also optimize CPU–GPU data transfers and improve memory access efficiency to maximize GPU parallel performance. The experimental results show that the proposed method achieves over a 5× speedup compared to the CPU across resolutions from FHD to 8K while maintaining output image quality equivalent to that of the CPU approach. Notably, we confirm near-real-time performance by processing large-scale 8K resolution with 16 viewpoints in just tens of milliseconds. This achievement significantly alleviates the computational bottleneck in large-scale holographic image synthesis, bringing real-time 3D holographic displays one step closer to realization. Furthermore, the proposed GPU acceleration technique is expected to serve as a foundational technology for real-time high-resolution hogel image generation in next-generation immersive display devices such as AR/VR/XR. | |
| 653 | |a Parallel processing | ||
| 653 | |a Central processing units--CPUs | ||
| 653 | |a Holography | ||
| 653 | |a Pixels | ||
| 653 | |a Image resolution | ||
| 653 | |a Image reconstruction | ||
| 653 | |a Display devices | ||
| 653 | |a Graphics processing units | ||
| 653 | |a Optimization techniques | ||
| 653 | |a High resolution | ||
| 653 | |a Acceleration | ||
| 653 | |a Methods | ||
| 653 | |a Algorithms | ||
| 653 | |a Image quality | ||
| 653 | |a Real time | ||
| 653 | |a Performance evaluation | ||
| 653 | |a Stereograms | ||
| 653 | |a Image processing | ||
| 700 | 1 | |a Kim Byungjoon |u Korean AI Certification, Seoul 04778, Republic of Korea | |
| 700 | 1 | |a Seo Yongduek |u Department of Artificial Intelligence, Sogang University, Seoul 04107, Republic of Korea | |
| 773 | 0 | |t Photonics |g vol. 12, no. 9 (2025), p. 882-895 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3254624686/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3254624686/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3254624686/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |