• DocumentCode
    1714902
  • Title

    Less buffer sized efficienct compression algorithm based on column DCTs, Row DWTs, and predictive coding

  • Author

    Ying-Wun Huang ; Guan-Chen Pan ; Jian-Jiun Ding ; Hsin-Hui Chen

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Although JPEG2000 is powerful for image compression, since it requires a large buffer size, it is not as popular as JPEG. In industry, less buffer size requirement is an important issue in image compression because in many embedded systems and mobile devices, such as cell phones, TV, and digital cameras, the buffer sizes are usually very small. A large buffer size means large space requirement and high hardware cost. In this paper, a new compression method that is the hybrid of the discrete cosine transform and the discrete wavelet transform is proposed. The proposed algorithm combines the advantages of JPEG and JPEG2000 and adopts predictive coding techniques. Its buffer size requirement is the same as that of JPEG but the compression ability is much higher.
  • Keywords
    data compression; discrete cosine transforms; discrete wavelet transforms; image coding; JPEG; JPEG2000; TV; buffer size requirement; cell phones; column DCT; column discrete cosine transforms; digital cameras; embedded systems; image compression; less buffer sized efficient compression algorithm; mobile devices; predictive coding techniques; row DWT; row discrete wavelet transforms; Discrete cosine transforms; Discrete wavelet transforms; Encoding; ISO standards; Image coding; Transform coding; JPEG; JPEG2000; buffer storage; discrete cosine transform; discrete wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4799-0433-4
  • Type

    conf

  • DOI
    10.1109/ICICS.2013.6782942
  • Filename
    6782942