Science Discovery

| Peer-Reviewed |

A Fast Algorithm of Exponent Moments in Image Reconstruction

Received: 13 October 2016    Accepted:     Published: 13 October 2016
Views:       Downloads:

Share This Article

Abstract

Image moments as a very effective highly concentrated image feature differ from image simple geometric features. Using image moments as a global feather to describe image feather information is a key problem in the image information domain of image recognition, image transformation, image classification, image transmission and image compression. On the basis of exponent moments, the image can be reconstruction approximately. And the exponent moments calculation can be more fast and more accurate using 2-D Fast Fourier Transform.

DOI 10.11648/j.sd.20160405.15
Published in Science Discovery (Volume 4, Issue 5, October 2016)
Page(s) 292-296
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), 2024. Published by Science Publishing Group

Keywords

Radial Harmonic Fourier Moments, Exponent Moments, 2-D Fast Fourier Transform

References
[1] 孟敏,平子良.基于指数矩的图像分解和重建[J].内蒙古师范大学学报:自然科学汉文版,2011,40(03):258-260.
[2] 平子良,盛云龙.用切比雪夫图像矩描述图像[J].内蒙古师范大学学报:自然科学汉文版,2002,31(3): 216-219.
[3] 银国瑞.基于圆谐-傅里叶矩的抗几何攻击数字水印算法研究[D].内蒙古师范大学物理与电子信息学院,2009.
[4] Jia-li Dong,Guo-ruiYin,Zi-liang Ping. Geometricallyrobust image watermarking based of Jacobi-Fouriermoments[J].Optoelectronics Letters.2009(5)
[5] 姜永静.指数矩及其在模式识别中的应用[D].北京邮电大学2011.
[6] 孟敏.基于指数矩的抗几何攻击数字图像水印[D].内蒙古师范大学,2011.
[7] 孙景峰,刘慧英,纪超,郭慧娟.高分辨率图像的指数矩描述[J].应用科学学报,2016,34(2):127-134.
[8] PING Z L,JIANG Y J.An algorithm for computation of radial-harmonic-Fourier moments [C]//The Second International Conference on Functional Manufacturing Technologies (ICFMT2010),2010:254-288.
[9] PING Z, JIANG Y, ZHOU S, WU Y.FFT algorithm of complex exponent moments and its application in image recognition [C]//The Sixth International Conference on Digital Image Processing. International Society for Optics and Photonics (ICDIP2014),2014:4177-4180.
[10] 杨帆等.数字图像处理与分析[M].北京:北京航空航天大学出版社,2010.
Author Information
  • Department of Communication and Information Engineering, Century College, Beijing University of Posts and Telecommunications,Beijing, China

  • Department of Communication and Information Engineering, Century College, Beijing University of Posts and Telecommunications,Beijing, China

  • Department of Communication and Information Engineering, Century College, Beijing University of Posts and Telecommunications,Beijing, China

Cite This Article
  • APA Style

    Wu Yu, Ping Zi-liang, Li Yin. (2016). A Fast Algorithm of Exponent Moments in Image Reconstruction. Science Discovery, 4(5), 292-296. https://doi.org/10.11648/j.sd.20160405.15

    Copy | Download

    ACS Style

    Wu Yu; Ping Zi-liang; Li Yin. A Fast Algorithm of Exponent Moments in Image Reconstruction. Sci. Discov. 2016, 4(5), 292-296. doi: 10.11648/j.sd.20160405.15

    Copy | Download

    AMA Style

    Wu Yu, Ping Zi-liang, Li Yin. A Fast Algorithm of Exponent Moments in Image Reconstruction. Sci Discov. 2016;4(5):292-296. doi: 10.11648/j.sd.20160405.15

    Copy | Download

  • @article{10.11648/j.sd.20160405.15,
      author = {Wu Yu and Ping Zi-liang and Li Yin},
      title = {A Fast Algorithm of Exponent Moments in Image Reconstruction},
      journal = {Science Discovery},
      volume = {4},
      number = {5},
      pages = {292-296},
      doi = {10.11648/j.sd.20160405.15},
      url = {https://doi.org/10.11648/j.sd.20160405.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sd.20160405.15},
      abstract = {Image moments as a very effective highly concentrated image feature differ from image simple geometric features. Using image moments as a global feather to describe image feather information is a key problem in the image information domain of image recognition, image transformation, image classification, image transmission and image compression. On the basis of exponent moments, the image can be reconstruction approximately. And the exponent moments calculation can be more fast and more accurate using 2-D Fast Fourier Transform.},
     year = {2016}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - A Fast Algorithm of Exponent Moments in Image Reconstruction
    AU  - Wu Yu
    AU  - Ping Zi-liang
    AU  - Li Yin
    Y1  - 2016/10/13
    PY  - 2016
    N1  - https://doi.org/10.11648/j.sd.20160405.15
    DO  - 10.11648/j.sd.20160405.15
    T2  - Science Discovery
    JF  - Science Discovery
    JO  - Science Discovery
    SP  - 292
    EP  - 296
    PB  - Science Publishing Group
    SN  - 2331-0650
    UR  - https://doi.org/10.11648/j.sd.20160405.15
    AB  - Image moments as a very effective highly concentrated image feature differ from image simple geometric features. Using image moments as a global feather to describe image feather information is a key problem in the image information domain of image recognition, image transformation, image classification, image transmission and image compression. On the basis of exponent moments, the image can be reconstruction approximately. And the exponent moments calculation can be more fast and more accurate using 2-D Fast Fourier Transform.
    VL  - 4
    IS  - 5
    ER  - 

    Copy | Download

  • Sections