• DocumentCode
    2990617
  • Title

    Image enhancement using stochastic resonance [sonar image processing applications]

  • Author

    Ye, Qinghua ; Huang, Haining ; Zhang, Chunhua

  • Author_Institution
    Inst. of Acoust., Chinese Acad. of Sci., Beijing, China
  • Volume
    1
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    263
  • Abstract
    This paper presents an image enhancement method using stochastic resonance (SR) and provides two applications to sonar image processing., i.e. side-scan sonar image and bearing-time record. Simulated and real data are tested and the results show that the proposed method is suitable for noisy images with very low signal-to-noise ratio (SNR), when the texture of the object is not subtle, and the region where the object lies in is not too small compared to the minimal region coverage over which SR works. We also show that an additional amount of noise besides the noise of the image itself may be helpful in enhancing the image.
  • Keywords
    image enhancement; image texture; sonar imaging; stochastic processes; image enhancement; low SNR images; noise-induced enhancement; noisy images; object texture; side-scan sonar image; sonar bearing-time record; sonar image processing; stochastic resonance; Frequency; Image enhancement; Image processing; Low-frequency noise; Noise level; Signal to noise ratio; Sonar applications; Stochastic resonance; Strontium; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1418740
  • Filename
    1418740