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Design and Research of an Image File Format with Rich Information

Received: 29 June 2018     Accepted: 13 July 2018     Published: 13 August 2018
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Abstract

The effect of image processing is determined by the amount of information provided by the image files. With the development of integrated circuit and sensor technology, the image information acquisition technology has been greatly improved, we can obtain higher and higher image quality, and it is possible that image files contain more and more abundant information. The realization of technologies such as image target detection and recognition, image and video retrieval, image segmentation, matching and understanding has a high dependence on image quality. By use of a series of sensors or instruments, we collect relevant data and add relevant information in image files, adding some information to traditional image files, such as: complex environmental information (smoke, fog, rain, clouds, snow, etc.), feature targets Distance, brightness, etc., are conducive to the processing of graphic feature data. The paper analyzes the hierarchical structure of image information, the necessity and feasibility of the increase of image file information, how to increase the relevant information in the image file format, and the significance of the rich information image file format.

Published in Journal of Electrical and Electronic Engineering (Volume 6, Issue 2)
DOI 10.11648/j.jeee.20180602.16
Page(s) 71-74
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Image File Format, Image Processing, Image Information Hierarchy, Image Understanding

References
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  • APA Style

    Wang Zhenhua, Chen Chunli, Xia Junbao. (2018). Design and Research of an Image File Format with Rich Information. Journal of Electrical and Electronic Engineering, 6(2), 71-74. https://doi.org/10.11648/j.jeee.20180602.16

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    ACS Style

    Wang Zhenhua; Chen Chunli; Xia Junbao. Design and Research of an Image File Format with Rich Information. J. Electr. Electron. Eng. 2018, 6(2), 71-74. doi: 10.11648/j.jeee.20180602.16

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    AMA Style

    Wang Zhenhua, Chen Chunli, Xia Junbao. Design and Research of an Image File Format with Rich Information. J Electr Electron Eng. 2018;6(2):71-74. doi: 10.11648/j.jeee.20180602.16

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  • @article{10.11648/j.jeee.20180602.16,
      author = {Wang Zhenhua and Chen Chunli and Xia Junbao},
      title = {Design and Research of an Image File Format with Rich Information},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {6},
      number = {2},
      pages = {71-74},
      doi = {10.11648/j.jeee.20180602.16},
      url = {https://doi.org/10.11648/j.jeee.20180602.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20180602.16},
      abstract = {The effect of image processing is determined by the amount of information provided by the image files. With the development of integrated circuit and sensor technology, the image information acquisition technology has been greatly improved, we can obtain higher and higher image quality, and it is possible that image files contain more and more abundant information. The realization of technologies such as image target detection and recognition, image and video retrieval, image segmentation, matching and understanding has a high dependence on image quality. By use of a series of sensors or instruments, we collect relevant data and add relevant information in image files, adding some information to traditional image files, such as: complex environmental information (smoke, fog, rain, clouds, snow, etc.), feature targets Distance, brightness, etc., are conducive to the processing of graphic feature data. The paper analyzes the hierarchical structure of image information, the necessity and feasibility of the increase of image file information, how to increase the relevant information in the image file format, and the significance of the rich information image file format.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Design and Research of an Image File Format with Rich Information
    AU  - Wang Zhenhua
    AU  - Chen Chunli
    AU  - Xia Junbao
    Y1  - 2018/08/13
    PY  - 2018
    N1  - https://doi.org/10.11648/j.jeee.20180602.16
    DO  - 10.11648/j.jeee.20180602.16
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
    SP  - 71
    EP  - 74
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.20180602.16
    AB  - The effect of image processing is determined by the amount of information provided by the image files. With the development of integrated circuit and sensor technology, the image information acquisition technology has been greatly improved, we can obtain higher and higher image quality, and it is possible that image files contain more and more abundant information. The realization of technologies such as image target detection and recognition, image and video retrieval, image segmentation, matching and understanding has a high dependence on image quality. By use of a series of sensors or instruments, we collect relevant data and add relevant information in image files, adding some information to traditional image files, such as: complex environmental information (smoke, fog, rain, clouds, snow, etc.), feature targets Distance, brightness, etc., are conducive to the processing of graphic feature data. The paper analyzes the hierarchical structure of image information, the necessity and feasibility of the increase of image file information, how to increase the relevant information in the image file format, and the significance of the rich information image file format.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • Department of Computer Science, School of Information Engineering, China University of Geosciences (Beijing), Beijing, China

  • Department of Computer Science, School of Information Engineering, China University of Geosciences (Beijing), Beijing, China

  • Department of Computer Science, School of Information Engineering, China University of Geosciences (Beijing), Beijing, China

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