• DocumentCode
    2154451
  • Title

    Design and implementation of two key image processing techniques for CMOS image sensor based on fpga

  • Author

    Zhang, Yu ; Yao, Su-ying ; Zhang, Na ; Xu, Jiang-tao

  • Author_Institution
    ASIC Design Center, Tianjin Univ., Tianjin, China
  • fYear
    2008
  • fDate
    20-23 Oct. 2008
  • Firstpage
    2152
  • Lastpage
    2155
  • Abstract
    Automatic white balance and color filter array interpolation are two important function of image signal processor for CMOS image sensor. This paper describes the designs and implementations of new automatic white balance method and color interpolation method on FPGA. This white balance method can effectively get the better of the defects of gray world and gray world-retinex methods by calculating the average deviation values of Cr and Cb. This color interpolation method can greatly reduce the artifacts causing by interpolating across edges with comparing the differences of neighboring pixels with the predefined thresholds. These two methods have been realized on Altera¿s FPGA EP1C12Q240C8. Experimental results show that the white balance method can obtain better image quality than gray world and gray world-retinex methods, and the color interpolation method can get high PSNR value. They can be good candidate for VLSI implementation.
  • Keywords
    CMOS image sensors; VLSI; digital signal processing chips; field programmable gate arrays; image processing; interpolation; CMOS image sensor; FPGA EP1C12Q240C8; VLSI implementation; automatic white balance method; color filter array interpolation; image processing technique; image signal processor; CMOS image sensors; Chromium; Color; Field programmable gate arrays; Filters; Image processing; Image quality; Interpolation; Sensor arrays; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State and Integrated-Circuit Technology, 2008. ICSICT 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2185-5
  • Electronic_ISBN
    978-1-4244-2186-2
  • Type

    conf

  • DOI
    10.1109/ICSICT.2008.4734994
  • Filename
    4734994