Cited by 13Advanced Optical Imaging TechnologiesAdvanced optical system designAugmented Reality Applications

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Image Quality for Near-Eye Display Based on Holographic Waveguides

Open access
Solomashenko, Artem, Lushnikov, Dmitrii, Shishova, Maria, Afanaseva, Olga, Zlokazov, Evgenii·2022·Applied Sciences

Abstract

The paper analyzes the image quality in augmented reality display based on holographic waveguides. Brightness, brightness non-uniformity, image noise, etc., depend on the parameters of the waveguide substrate, the configuration, and the relief shape of diffraction optical elements. The optimal structure of holographic waveguides obtained by analog holography has been studied. The presented recommendations to achieve the best image quality are based on experimental results for different configurations of holographic waveguides.

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Crossref · 10.3390/app122111136

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35 of 35 references verified0 citation errors · 0 not checkable

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  • Externalization of cognitive work to AI systems may weaken self-regulated learning and independent problem-solving when used as a substitute rather than a scaffold.

    “This pattern suggests the externalization of cognitive work to AI systems, echoing concerns that generative AI may weaken self-regulated learning and independent problem-solving when used as a substitute rather than a scaffold [5, 19, 38].”

    From From adoption to interaction: examining human-GenAI engagement patterns, ethical tensions, and educational trade-offs in nursing education (2026) · cites this paper as [5]

    The Introduction (p. 1) and Conclusions (p. 12) address holographic waveguides and AR image quality, not learning outcomes. Searches for generative AI, self-regulated learning, independent problem-solving, and externalized cognitive work found no passage addressing the attributed concern. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 1

  1. Kim, 2019, Foveated AR: Dynamically-foveated augmented reality display, ACM Trans. Graph., 38, 1

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Metadata

Authors
Solomashenko, A., Lushnikov, D., Shishova, M., Afanaseva, O., & Zlokazov, E.
Affiliations
  • Department of Radioelectronics and Laser Engineering, Bauman Moscow State Technical University, 105005 Moscow, Russia
  • Bauman Moscow State Technical University (RU)
  • Department of Laser Physics, National Research Nuclear University MEPhI, 115409 Moscow, Russia
Venue
Applied Sciences
Publisher
MDPI AG
Published
2022-11-02
Volume
12
Issue
21
Pages
11136
ISSN
2076-3417 (ISSN-L)
OpenAlex
W4309091552
Cited by
13
References
35
Citations by year
2026: 5 · 2025: 4 · 2024: 2 · 2023: 2
FWCI
0.78
Type
journal article
Language
en
Open access
Locations
  • Applied Sciences (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Bauman Moscow State Technical University
Topics
  • Physical Sciences › Engineering › Media Technology › Advanced Optical Imaging Technologies
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced optical system design
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
Keywords
holographic waveguide, near-eye displays, augmented reality, image quality, image noise, diffractive optical elements, waveguide structure optimization

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