Instant-SFH: Non-Iterative Sparse Fourier Holograms Using Perlin Noise
Holographic displays are an upcoming technology for AR and VR applications, with the ability to show 3D content with accurate depth cues, including accommodation and motion parallax. Recent research reveals that only a fraction of holographic pixels are needed to display images with high fidelity, i...
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/22/7358 |
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| author | David Li Susmija Jabbireddy Yang Zhang Christopher Metzler Amitabh Varshney |
| author_facet | David Li Susmija Jabbireddy Yang Zhang Christopher Metzler Amitabh Varshney |
| author_sort | David Li |
| collection | DOAJ |
| description | Holographic displays are an upcoming technology for AR and VR applications, with the ability to show 3D content with accurate depth cues, including accommodation and motion parallax. Recent research reveals that only a fraction of holographic pixels are needed to display images with high fidelity, improving energy efficiency in future holographic displays. However, the existing iterative method for computing sparse amplitude and phase layouts does not run in real time; instead, it takes hundreds of milliseconds to render an image into a sparse hologram. In this paper, we present a non-iterative amplitude and phase computation for sparse Fourier holograms that uses Perlin noise in the image–plane phase. We conduct simulated and optical experiments. Compared to the Gaussian-weighted Gerchberg–Saxton method, our method achieves a run time improvement of over 600 times while producing a nearly equal PSNR and SSIM quality. The real-time performance of our method enables the presentation of dynamic content crucial to AR and VR applications, such as video streaming and interactive visualization, on holographic displays. |
| format | Article |
| id | doaj-art-38dbf156e44c48a2901dfa4c0f6b68c5 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-38dbf156e44c48a2901dfa4c0f6b68c52024-11-26T18:21:41ZengMDPI AGSensors1424-82202024-11-012422735810.3390/s24227358Instant-SFH: Non-Iterative Sparse Fourier Holograms Using Perlin NoiseDavid Li0Susmija Jabbireddy1Yang Zhang2Christopher Metzler3Amitabh Varshney4Department of Computer Science, University of Maryland, College Park, MD 20742, USADepartment of Computer Science, University of Maryland, College Park, MD 20742, USADepartment of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USADepartment of Computer Science, University of Maryland, College Park, MD 20742, USADepartment of Computer Science, University of Maryland, College Park, MD 20742, USAHolographic displays are an upcoming technology for AR and VR applications, with the ability to show 3D content with accurate depth cues, including accommodation and motion parallax. Recent research reveals that only a fraction of holographic pixels are needed to display images with high fidelity, improving energy efficiency in future holographic displays. However, the existing iterative method for computing sparse amplitude and phase layouts does not run in real time; instead, it takes hundreds of milliseconds to render an image into a sparse hologram. In this paper, we present a non-iterative amplitude and phase computation for sparse Fourier holograms that uses Perlin noise in the image–plane phase. We conduct simulated and optical experiments. Compared to the Gaussian-weighted Gerchberg–Saxton method, our method achieves a run time improvement of over 600 times while producing a nearly equal PSNR and SSIM quality. The real-time performance of our method enables the presentation of dynamic content crucial to AR and VR applications, such as video streaming and interactive visualization, on holographic displays.https://www.mdpi.com/1424-8220/24/22/7358holographyFourier hologramsPerlin noise |
| spellingShingle | David Li Susmija Jabbireddy Yang Zhang Christopher Metzler Amitabh Varshney Instant-SFH: Non-Iterative Sparse Fourier Holograms Using Perlin Noise Sensors holography Fourier holograms Perlin noise |
| title | Instant-SFH: Non-Iterative Sparse Fourier Holograms Using Perlin Noise |
| title_full | Instant-SFH: Non-Iterative Sparse Fourier Holograms Using Perlin Noise |
| title_fullStr | Instant-SFH: Non-Iterative Sparse Fourier Holograms Using Perlin Noise |
| title_full_unstemmed | Instant-SFH: Non-Iterative Sparse Fourier Holograms Using Perlin Noise |
| title_short | Instant-SFH: Non-Iterative Sparse Fourier Holograms Using Perlin Noise |
| title_sort | instant sfh non iterative sparse fourier holograms using perlin noise |
| topic | holography Fourier holograms Perlin noise |
| url | https://www.mdpi.com/1424-8220/24/22/7358 |
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