Image and video processing on mobile devices: a survey
Image processing and computer vision on mobile devices have a wide range of applications such as digital image enhancement and augmented reality. While images acquired by cameras on mobile devices can be processed with generic image processing algorithms, there are numerous constraints and external...
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Published in | The Visual computer Vol. 37; no. 12; pp. 2931 - 2949 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0178-2789 1432-2315 |
DOI | 10.1007/s00371-021-02200-8 |
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Abstract | Image processing and computer vision on mobile devices have a wide range of applications such as digital image enhancement and augmented reality. While images acquired by cameras on mobile devices can be processed with generic image processing algorithms, there are numerous constraints and external issues that call for customized algorithms for such devices. In this paper, we survey mobile image processing and computer vision applications while highlighting these constraints and explaining how the algorithms have been modified/adapted to meet accuracy and performance demands. We hope that this paper will be a useful resource for researchers who intend to apply image processing and computer vision algorithms to real-world scenarios and applications that involve mobile devices. |
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AbstractList | Image processing and computer vision on mobile devices have a wide range of applications such as digital image enhancement and augmented reality. While images acquired by cameras on mobile devices can be processed with generic image processing algorithms, there are numerous constraints and external issues that call for customized algorithms for such devices. In this paper, we survey mobile image processing and computer vision applications while highlighting these constraints and explaining how the algorithms have been modified/adapted to meet accuracy and performance demands. We hope that this paper will be a useful resource for researchers who intend to apply image processing and computer vision algorithms to real-world scenarios and applications that involve mobile devices. Image processing and computer vision on mobile devices have a wide range of applications such as digital image enhancement and augmented reality. While images acquired by cameras on mobile devices can be processed with generic image processing algorithms, there are numerous constraints and external issues that call for customized algorithms for such devices. In this paper, we survey mobile image processing and computer vision applications while highlighting these constraints and explaining how the algorithms have been modified/adapted to meet accuracy and performance demands. We hope that this paper will be a useful resource for researchers who intend to apply image processing and computer vision algorithms to real-world scenarios and applications that involve mobile devices.Image processing and computer vision on mobile devices have a wide range of applications such as digital image enhancement and augmented reality. While images acquired by cameras on mobile devices can be processed with generic image processing algorithms, there are numerous constraints and external issues that call for customized algorithms for such devices. In this paper, we survey mobile image processing and computer vision applications while highlighting these constraints and explaining how the algorithms have been modified/adapted to meet accuracy and performance demands. We hope that this paper will be a useful resource for researchers who intend to apply image processing and computer vision algorithms to real-world scenarios and applications that involve mobile devices. |
Author | Inomata, Teppei Kuroda, Yasuhiro Morikawa, Chamin Matsuo, Hitoshi Hilaga, Masaki Kobayashi, Michihiro Miura, Takeshi Satoh, Masaki |
Author_xml | – sequence: 1 givenname: Chamin orcidid: 0000-0001-7502-534X surname: Morikawa fullname: Morikawa, Chamin email: c-morikawa@morphoinc.com organization: Morpho Inc – sequence: 2 givenname: Michihiro surname: Kobayashi fullname: Kobayashi, Michihiro organization: Morpho Inc – sequence: 3 givenname: Masaki surname: Satoh fullname: Satoh, Masaki organization: Morpho Inc – sequence: 4 givenname: Yasuhiro surname: Kuroda fullname: Kuroda, Yasuhiro organization: Morpho Inc – sequence: 5 givenname: Teppei surname: Inomata fullname: Inomata, Teppei organization: Morpho Inc – sequence: 6 givenname: Hitoshi surname: Matsuo fullname: Matsuo, Hitoshi organization: Morpho Inc – sequence: 7 givenname: Takeshi surname: Miura fullname: Miura, Takeshi organization: Morpho Inc – sequence: 8 givenname: Masaki surname: Hilaga fullname: Hilaga, Masaki organization: Morpho Inc |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34177023$$D View this record in MEDLINE/PubMed |
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Keywords | Image processing Computer vision Mobile devices |
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SubjectTerms | Algorithms Artificial Intelligence Augmented reality Cellular telephones Computer Graphics Computer Science Computer vision Digital cameras Digital imaging Electronic devices Image acquisition Image enhancement Image processing Image Processing and Computer Vision Mobile computing Sensors Smartphones Software Survey Video |
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Title | Image and video processing on mobile devices: a survey |
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