Guoce Yang, Mengyun Wang, June Sang Lee, Nikolaos Farmakidis, Joe Shields, Carlota Ruiz de Galarreta, Stuart Kendall, Jacopo Bertolotti, Andriy Moskalenko, Kairan Huang, Andrea Alù, C. David Wright, Harish Bhaskaran
{"title":"用于可重构非易失性图像处理的非局部相变元光学技术","authors":"Guoce Yang, Mengyun Wang, June Sang Lee, Nikolaos Farmakidis, Joe Shields, Carlota Ruiz de Galarreta, Stuart Kendall, Jacopo Bertolotti, Andriy Moskalenko, Kairan Huang, Andrea Alù, C. David Wright, Harish Bhaskaran","doi":"arxiv-2409.10976","DOIUrl":null,"url":null,"abstract":"The next generation of smart imaging and vision systems will require compact\nand tunable optical computing hardware to perform high-speed and low-power\nimage processing. These requirements are driving the development of computing\nmetasurfaces to realize efficient front-end analog optical pre-processors,\nespecially for edge-detection capability. Yet, there is still a lack of\nreconfigurable or programmable schemes, which may drastically enhance the\nimpact of these devices at the system level. Here, we propose and\nexperimentally demonstrate a reconfigurable flat optical image processor using\nlow-loss phase-change nonlocal metasurfaces. The metasurface is configured to\nrealize different transfer functions in spatial frequency space, when\ntransitioning the phase-change material between its amorphous and crystalline\nphases. This enables edge detection and bright-field imaging modes on the same\ndevice. The metasurface is compatible with a large numerical aperture of ~0.5,\nmaking it suitable for high resolution coherent optical imaging microscopy. The\nconcept of phase-change reconfigurable nonlocal metasurfaces may enable\nemerging applications of artificial intelligence-assisted imaging and vision\ndevices with switchable multitasking.","PeriodicalId":501214,"journal":{"name":"arXiv - PHYS - Optics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing\",\"authors\":\"Guoce Yang, Mengyun Wang, June Sang Lee, Nikolaos Farmakidis, Joe Shields, Carlota Ruiz de Galarreta, Stuart Kendall, Jacopo Bertolotti, Andriy Moskalenko, Kairan Huang, Andrea Alù, C. David Wright, Harish Bhaskaran\",\"doi\":\"arxiv-2409.10976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The next generation of smart imaging and vision systems will require compact\\nand tunable optical computing hardware to perform high-speed and low-power\\nimage processing. These requirements are driving the development of computing\\nmetasurfaces to realize efficient front-end analog optical pre-processors,\\nespecially for edge-detection capability. Yet, there is still a lack of\\nreconfigurable or programmable schemes, which may drastically enhance the\\nimpact of these devices at the system level. Here, we propose and\\nexperimentally demonstrate a reconfigurable flat optical image processor using\\nlow-loss phase-change nonlocal metasurfaces. The metasurface is configured to\\nrealize different transfer functions in spatial frequency space, when\\ntransitioning the phase-change material between its amorphous and crystalline\\nphases. This enables edge detection and bright-field imaging modes on the same\\ndevice. The metasurface is compatible with a large numerical aperture of ~0.5,\\nmaking it suitable for high resolution coherent optical imaging microscopy. The\\nconcept of phase-change reconfigurable nonlocal metasurfaces may enable\\nemerging applications of artificial intelligence-assisted imaging and vision\\ndevices with switchable multitasking.\",\"PeriodicalId\":501214,\"journal\":{\"name\":\"arXiv - PHYS - Optics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Optics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.10976\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Optics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing
The next generation of smart imaging and vision systems will require compact
and tunable optical computing hardware to perform high-speed and low-power
image processing. These requirements are driving the development of computing
metasurfaces to realize efficient front-end analog optical pre-processors,
especially for edge-detection capability. Yet, there is still a lack of
reconfigurable or programmable schemes, which may drastically enhance the
impact of these devices at the system level. Here, we propose and
experimentally demonstrate a reconfigurable flat optical image processor using
low-loss phase-change nonlocal metasurfaces. The metasurface is configured to
realize different transfer functions in spatial frequency space, when
transitioning the phase-change material between its amorphous and crystalline
phases. This enables edge detection and bright-field imaging modes on the same
device. The metasurface is compatible with a large numerical aperture of ~0.5,
making it suitable for high resolution coherent optical imaging microscopy. The
concept of phase-change reconfigurable nonlocal metasurfaces may enable
emerging applications of artificial intelligence-assisted imaging and vision
devices with switchable multitasking.