• DocumentCode
    1637293
  • Title

    A GA-Based Image Halftoning Technique

  • Author

    Lo, Chih-Cheng ; Chen, Yi-Ting ; Chu, Shu-Chuan ; Pan, Jeng-Shyang

  • Author_Institution
    Dept. of Electron. Eng., Kaohsiung Univ. of Appl. Sci.
  • Volume
    3
  • fYear
    2008
  • Firstpage
    335
  • Lastpage
    338
  • Abstract
    In this paper, a novel halftoning technique for image is designed with genetic algorithm (GA). It is structured on the error diffusion kernel and the resulted halftone image is compared to the one which is originated from the standard error diffusion kernel with the same method by PSNR (peak signal-to-noise ratio).
  • Keywords
    genetic algorithms; image processing; GA-based image halftoning technique; PSNR; error diffusion kernel; genetic algorithm; peak signal-to-noise ratio; Algorithm design and analysis; Biological cells; Filters; Genetic algorithms; Genetic engineering; Genetic mutations; Intelligent systems; Kernel; PSNR; Pixel; GA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.351
  • Filename
    4696486
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1637293