• DocumentCode
    3111429
  • Title

    Multi-frame low illumination noise removal in smartphone

  • Author

    Kini, Ravi Prasad Mohan ; Khunteta, Shubham ; Garg, Shelly ; Yeturu, Kalidas ; Kar, Soummya

  • Author_Institution
    Samsung Res. India, Bangalore, India
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Low illumination images contain splotches or dark noise and simple intensity enhancement techniques cannot be applied to enhance the brightness of such images as the noise gets amplified especially in the darker region. Several techniques are proposed in literature to remove such splotches based on single or multiple frames. In this work, a multiple frame based noise removal technique is proposed. The proposed method removes noise in multiple stages and in multiple bands of frequencies. The method is fast and can be implemented in a mobile device with near-real time performance for high resolution images.
  • Keywords
    image denoising; image enhancement; image resolution; smart phones; dark noise; high resolution images; intensity enhancement techniques; low illumination images; mobile device; multiframe low illumination noise removal; multiple frame based noise removal technique; near-real time performance; smartphone; splotches; Brightness; Discrete wavelet transforms; Filtering; Noise; Noise reduction; Performance evaluation; Discrete Wavelet Transform; Image Registration; Low Light Noise Removal; Multi-frame Imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2013 Annual IEEE
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4799-2274-1
  • Type

    conf

  • DOI
    10.1109/INDCON.2013.6726042
  • Filename
    6726042