Image coder based on residue number system for progressive transmission

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Image coder based on residue number system for progressive transmission

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A computationally efficient algorithm for image compression and progressive transmission is presented. A prime-factor discrete cosine transform (DCT) is applied, where the coefficients are computed in three groups and are residue represented by a different bit allocation. A novel lattice vector quantiser is used for the quantisation of each group.

Inspec keywords: image coding; vector quantisation; residue number systems; discrete cosine transforms

Other keywords: prime-factor DCT; residue number system; discrete cosine transform; computationally efficient algorithm; lattice vector quantiser; image compression; image coder; bit allocation; RNS coder; progressive transmission

Subjects: Integral transforms; Digital arithmetic methods; Computer vision and image processing techniques; Integral transforms; Codes; Pattern recognition; Information theory; Optical information, image and video signal processing

References

    1. 1)
      • N.I. Cho , S.U. Lee . Fast algorithm and implementation of 2-D discrete cosine transform. IEEE Trans. , 297 - 305
    2. 2)
      • J.D. Gibson , K. Sayood , P. Hawkes . (1988) Lattice quantization, Advances in electronics and electron physics.
    3. 3)
      • A. Tatsaki , C. Dre , T. Stouraitis , C. Goutis . Prime factor DCT algorithms. IEEE Trans. Signal Process.
    4. 4)
      • T. Fischer . A pyramid vector quantizer. IEEE Trans. , 568 - 583
    5. 5)
      • Y. Huang , H.M. Driezen , N.P. Galatsanos . Prioritized DCT for compression and progressive transmission of images. IEEE Trans. , 477 - 487
    6. 6)
      • Vetterli, M.: `Fast 2-D discrete cosine transform', IEEE ICASSP'85, 1985, p. 1538–1541.
    7. 7)
      • N.S. Szabo , R.I. Tanaka . (1967) Residue arithmetic and its applications to computer technology.
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