• DocumentCode
    2597405
  • Title

    Non-embedded image coding techniques based on pixels classification

  • Author

    Mohammed, Usama S. ; Abd-Elhafiez, Walaa M.

  • Author_Institution
    Dept. of Electr. Eng., Assiut Univ., Assiut
  • fYear
    2008
  • fDate
    25-27 Nov. 2008
  • Firstpage
    101
  • Lastpage
    106
  • Abstract
    In this paper, new techniques for the DCT image coding based in pixels classifications are proposed. Two image coding approaches based on the object extraction are presented to study the effect of the object based image coding on the compression quality. Moreover, modification of the traditional JPEG method based on region-of-interest coding is achieved. In the beginning of all approaches, the image is subdivided into a block of pixels with block size of NxN. Firstly; the block must be classified as foreground or background block based on a preprocessing step. The foreground blocks will be compressed via JPEG technique but with significant quantized coefficients and the DC coefficient only from one block in the background is used to code it. The simulation result shows that the proposed technique provides competitive compression performance relative to the traditional JPEG technique.
  • Keywords
    data compression; discrete cosine transforms; edge detection; feature extraction; image classification; image coding; DCT image; JPEG method; compression quality; nonembedded image coding technique; object extraction; pixel classification; region-of-interest coding; Decoding; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Image edge detection; Image storage; Pixel; Shape; Streaming media; Transform coding; DCT; Image segmentation; JPEG standard; Quantization; Region of interest (ROI); edge detection; image coding; object extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems, 2008. ICCES 2008. International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-2115-2
  • Electronic_ISBN
    978-1-4244-2116-9
  • Type

    conf

  • DOI
    10.1109/ICCES.2008.4772975
  • Filename
    4772975