• DocumentCode
    2651892
  • Title

    A non-uniform image compression using genetic algorithm

  • Author

    Bonyadi, M.R. ; Dehghani, E. ; Moghaddam, Mohsen Ebrahimi

  • Author_Institution
    Electr. & Comput. Eng. Dept., Shahid Beheshti Univ., Tehran
  • fYear
    2008
  • fDate
    25-28 June 2008
  • Firstpage
    315
  • Lastpage
    318
  • Abstract
    Most of the image compression standards are based on frequency domain transforms that is followed by quantization. Therefore, the ways to threshold a transformed block of image are the interest of many researchers in order to find a good balance between image quality and compression ratio. In this paper we proposed a lossy compression method based on JPEG which applies an adaptive threshold for each block. The threshold mask function is determined by using genetic algorithm. The proposed genetic algorithm uses gray level difference (GLD) as a feature. The experimental results showed that proposed method had higher PSNR than some related works and it is comparable with JPEG2000.
  • Keywords
    data compression; genetic algorithms; image coding; JPEG; frequency domain transforms; genetic algorithm; gray level difference; nonuniform image compression; quantization; threshold mask function; Bandwidth; Discrete cosine transforms; Fractals; Frequency; Genetic algorithms; Image coding; Image quality; Image storage; PSNR; Transform coding; Genetic Algorithm; Image Compression; JPEG Method; Zonal Mask;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing, 2008. IWSSIP 2008. 15th International Conference on
  • Conference_Location
    Bratislava
  • Print_ISBN
    978-80-227-2856-0
  • Electronic_ISBN
    978-80-227-2880-5
  • Type

    conf

  • DOI
    10.1109/IWSSIP.2008.4604430
  • Filename
    4604430