• DocumentCode
    548211
  • Title

    A Hybrid Median Filter for Enhancing Dim Small Point Targets and Its Fast Implementation

  • Author

    Yang, Qingyun

  • Author_Institution
    Photoelectric Detection Group, Chinese Acad. of Sci., Changchun, China
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    239
  • Lastpage
    242
  • Abstract
    Weak stars and middle altitude orbit satellites or high altitude orbit satellites are presented as dim point targets in images of astronomical observation. They have low intensity and occupy few pixels in image. In most situations, the background of sky is always ununiform and there exists pulse noises. Thus results in targets submerging in background noises and low signal noise ratio (SNR). Median filter is an effective method for removing pulse noise. But it can blur image after modifying gray of non-noise pixels when image has low SNR. A hybrid median filter algorithm is proposed to process low SNR dim point targets image. The newly proposed method can suppress the pulse noises, also can increase target SNR and does not add extra fake targets. The time complexity of median filter is O(N2)(N is the widow size) and is difficult to implement in hardware. For quasi real time application, a fast implementation of our hybrid median filter is proposed to reduce the time complexity to O(N). Experimental results show that the newly proposed algorithm is superior to ordinary median filter and fast median filter by comparing visual effect and performance.
  • Keywords
    astronomy computing; computational complexity; image denoising; image enhancement; median filters; astronomical observation; background noises; dim small point target enhancement; high altitude orbit satellites; hybrid median filter; image blur; middle altitude orbit satellites; signal noise ratio; time complexity; weak stars; Arrays; Complexity theory; Image edge detection; Pixel; Satellites; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Signal Processing (CMSP), 2011 International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-1-61284-314-8
  • Electronic_ISBN
    978-1-61284-314-8
  • Type

    conf

  • DOI
    10.1109/CMSP.2011.55
  • Filename
    5957415