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DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T152700
DTEND;TZID=Asia/Tokyo:20241204T154100
UID:siggraphasia_SIGGRAPH Asia 2024_sess119_papers_918@linklings.com
SUMMARY:Learned Multi-aperture Color-coded Optics for Snapshot Hyperspectr
 al Imaging
DESCRIPTION:Technical Papers\n\nZheng Shi (Princeton University); Xiong Du
 n (Tongji University); Haoyu Wei (University of Hong Kong); Siyu Dong, Zha
 nshan Wang, and Xinbin Cheng (Tongji University); Felix Heide (Princeton U
 niversity); and Yifan Peng (University of Hong Kong)\n\nLearned optics, wh
 ich incorporate lightweight diffractive optics, coded-aperture modulation,
  and specialized image-processing neural networks, have recently garnered 
 attention in the field of snapshot hyperspectral imaging (HSI). While conv
 entional methods typically rely on a single lens element paired with an of
 f-the-shelf color sensor, these setups, despite their widespread availabil
 ity, present inherent limitations. First, the Bayer sensor's spectral resp
 onse curves are not optimized for HSI applications, limiting spectral fide
 lity of the reconstruction. Second, single lens designs rely on a single d
 iffractive optical element (DOE)  to simultaneously encode spectral inform
 ation and maintain spatial resolution across all wavelengths, which constr
 ains spectral encoding capabilities.\nThis work investigates a multi-chann
 el lens array combined with aperture-wise color filters, all co-optimized 
 alongside an image reconstruction network. This configuration enables inde
 pendent spatial encoding and spectral response for each channel, improving
  optical encoding across both spatial and spectral dimensions. Specificall
 y, we validate that the method achieves over a 5dB improvement in PSNR for
  spectral reconstruction compared to existing single-diffractive lens and 
 coded-aperture techniques. Experimental validation further confirmed that 
 the method is capable of recovering up to 31 spectral bands within the 429
 –700~nm range in diverse indoor and outdoor environments.\n\nRegistration 
 Category: Full Access, Full Access Supporter\n\nLanguage Format: English L
 anguage\n\nSession Chair: Qi Sun (New York University)
URL:https://asia.siggraph.org/2024/program/?id=papers_918&sess=sess119
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