• DocumentCode
    2038355
  • Title

    Design and hardware implement of automatic white balance based on chromaticity difference

  • Author

    Zhang, Baofeng ; Wei, Zhaochao ; Jia, Huiyan ; Lu, Chunfang ; Zhu, Junchao

  • Author_Institution
    Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, Tianjin University of Technology, 391, Binshui Xidao, Xiqing District, 300384, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    This paper tries to solve the problem that different degrees of color cast will be presented when collects images from various directions in the same circumstance by using the system of Multi-vision. An automatic white balance algorithm based on the chromaticity difference is proposed, in which adopts the color difference formula CIE 1976Lab, comparing the Chromatic difference with threshold value of adjacent pixels and removing the interference pixels, the color temperature will be more accurate. And using integer multiplies and shift operation instead of floating-point arithmetic, the transformation from RGB color system to XYZ color space is optimized. This paper will start with description of algorithm principles. Following this, Chromatic difference white balance module will be built combining with DSP builder, and using Signal Compiler, the algorithm will be implemented by transplanting codes into FPGA. At last, Experimental results show that the proposed method can get a comparatively good color white balance effect by applying this algorithm into the latest Multi-vision system of panoramic stereo sphere vision.
  • Keywords
    Accuracy; Algorithm design and analysis; Color; Digital signal processing; Field programmable gate arrays; Hardware; Image color analysis; Chromatic difference; DSP builder; FPGA; Multi-vision; White balance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237476
  • Filename
    7237476