Evidence map›Paper›PMID 38865455›Full record

ArticleScience advances2024

Information-hiding cameras: Optical concealment of object information into ordinary images.

Bijie Bai, Ryan Lee, Yuhang Li, Tianyi Gan, Yuntian Wang, Mona Jarrahi, Aydogan Ozcan

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Lying mirror using structured surfaces.Nature communications · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bijie BaiElectrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-4744-996X
Ryan LeeComputer Science Department, University of California, Los Angeles, CA 90095, USA.
Yuhang LiElectrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-9364-4125
Tianyi GanElectrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0001-8675-0053
Yuntian WangElectrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.ORCID 0009-0003-1774-3636
Mona JarrahiElectrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0001-9514-555X
Aydogan OzcanElectrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-0717-683X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce an information-hiding camera integrated with an electronic decoder that is jointly optimized through deep learning. This system uses a diffractive optical processor, which transforms and hides input images into ordinary-looking patterns that deceive/mislead observers. This information-hiding transformation is valid for infinitely many combinations of secret messages, transformed into ordinary-looking output images through passive light-matter interactions within the diffractive processor. By processing these output patterns, an electronic decoder network accurately reconstructs the original information hidden within the deceptive output. We demonstrated our approach by designing information-hiding diffractive cameras operating under various lighting conditions and noise levels, showing their robustness. We further extended this framework to multispectral operation, allowing the concealment and decoding of multiple images at different wavelengths, performed simultaneously. The feasibility of our framework was also validated experimentally using terahertz radiation. This optical encoder-electronic decoder-based codesign provides a high speed and energy efficient information-hiding camera, offering a powerful solution for visual information security.

Identifiers

PMID38865455
PMCPMC11168462

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.