Exploiting nonlinear incoherent image formation through linear volume metaoptics for inference
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911124657537024 |
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| author | Zhang, Nan Keshvari, Arvin Shakeri, Ata Lin, Zin |
| author_facet | Zhang, Nan Keshvari, Arvin Shakeri, Ata Lin, Zin |
| contents | We showed that a 2D depth map representing an incoherent 3D opaque scene is directly encoded in the response function of an imaging optics. As a result, the optics creates an image that depends nonlinearly on the depth map. Furthermore, strong spatio-spectral dispersions in volume metaoptics can be engineered to create a complex image in response to a depth map. We hypothesize that this complexity will allow the linear volume metaoptics to nonlinearly sense and process 3D opaque scenes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_19436 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploiting nonlinear incoherent image formation through linear volume metaoptics for inference Zhang, Nan Keshvari, Arvin Shakeri, Ata Lin, Zin Optics Optimization and Control Computational Physics We showed that a 2D depth map representing an incoherent 3D opaque scene is directly encoded in the response function of an imaging optics. As a result, the optics creates an image that depends nonlinearly on the depth map. Furthermore, strong spatio-spectral dispersions in volume metaoptics can be engineered to create a complex image in response to a depth map. We hypothesize that this complexity will allow the linear volume metaoptics to nonlinearly sense and process 3D opaque scenes. |
| title | Exploiting nonlinear incoherent image formation through linear volume metaoptics for inference |
| topic | Optics Optimization and Control Computational Physics |
| url | https://arxiv.org/abs/2508.19436 |