• DocumentCode
    3272890
  • Title

    A new transform for document image compression

  • Author

    Aung, Aye ; Ng, Boon Poh ; Shwe, Cherry Tin

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
  • fYear
    2009
  • fDate
    8-10 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a new real transform (rCS-SCHT) derived from the conjugate symmetric sequency-ordered complex Hadamard transform (CS-SCHT) for document image compression. Like the CS-SCHT, the proposed transform is also an orthogonal transform. The transform computation is very simple and it requires only addition/subtractions with the use of a fast algorithm. This transform possesses good energy compaction property which makes it suitable to be employed in document image compression. Simulations are conducted in order to demonstrate the energy compaction capability of the transform as compared to the discrete cosine transform (DCT) and the Walsh Hadamard transform (WHT), particularly for scanned document images. Further discussions on the bit rate vs peak signal-to-noise (PSNR) performances of the proposed transform, the DCT and the WHT are presented using the default JPEG setting for simulations.
  • Keywords
    Hadamard transforms; Walsh functions; data compression; discrete cosine transforms; document image processing; image coding; Walsh Hadamard transform; conjugate symmetric sequency ordered complex Hadamard transform; discrete cosine transform; document image compression; energy compaction capability; orthogonal transform; peak signal-to-noise performances; Compaction; Computational complexity; Computational modeling; Computer science; Discrete Fourier transforms; Discrete cosine transforms; Discrete transforms; Image coding; Software libraries; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4244-4656-8
  • Electronic_ISBN
    978-1-4244-4657-5
  • Type

    conf

  • DOI
    10.1109/ICICS.2009.5397739
  • Filename
    5397739