Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Low complexity sub-band image coding with pseudo QMF and pyramidal lattice VQ

Low complexity sub-band image coding with pseudo QMF and pyramidal lattice VQ

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings - Vision, Image and Signal Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

A low complexity codec with no visible degradation is desirable in compression of digital images. The authors present a codec which combines the efficiency and effectiveness of both sub-band coding and lattice quantisation. Initially, a cosine modulated pseudoquadrature mirror filter is designed to decompose the input image into a number of sub-bands. The lowest frequency sub-band is DPCM encoded. All the higher frequency bands are vector quantised using a pyramidal piecewise uniform lattice quantisation. The proposed method was implemented and the computer simulation results are presented.

Inspec keywords: vector quantisation; differential pulse code modulation; computational complexity; quadrature mirror filters; image coding; image reconstruction; codecs

Other keywords: pyramidal lattice VQ; input image decomposition; sub-band coding; vector quantisation; computer simulation; pseudo QMF; digital images compression; low complexity codec; low complexity sub-band image coding; cosine modulated pseudoquadrature mirror filter; lattice quantisation; DPCM encoding; pyramidal piecewise uniform lattice quantisation; lowest frequency sub-band; visible degradation

Subjects: Computer vision and image processing techniques; Pattern recognition; Optical information, image and video signal processing; Codes

References

    1. 1)
      • J.H. Conway , N.J. Sloane . (1999) Sphere packings, lattices and groups.
    2. 2)
      • D.G. Jeong , J.D. Gibson . Uniform and piecewise uniform lattice vector quantization formemoryless Gaussian and Laplacian sources. IEEE Trans. Inf. Theory , 3 , 786 - 804
    3. 3)
      • K.A. Birney , T.R. Fischer . On the modeling of DCT and sub-band image data for compression. IEEE Trans. Image Process. , 2 , 186 - 193
    4. 4)
      • M. Barlaud , P. Sole , T. Gaidon , M. Antonini , P. Mathieu . Pyramidal lattice vector quantizationfor multiscale image coding. IEEE Trans. Image Process. , 4 , 367 - 381
    5. 5)
      • P.H. Westerink , D.E. Boekee , J. Biemond , J.W. Woods . Sub-band coding of images usingvector quantization. IEEE Trans. , 6 , 713 - 71
    6. 6)
      • H.J. Nussbaumer . Pseudo QMF filter bank. IBM Tech. Disclosure Bull. , 6 , 3081 - 3087
    7. 7)
      • G.K. Wallace . The JPEG still picture compression standard. Commun. ACM , 4 , 30 - 44
    8. 8)
      • P.P. Vaidyanathan . (1993) Multirate systems and filterbanks.
    9. 9)
      • R.V. Cox . The design of uniformly and nonunifomily spaced pseudoquadrature mirrorfilters. IEEE Trans. , 5 , 1090 - 1096
    10. 10)
      • D.G. Jeong , J.D. Gibson . Image coding with uniform and piecewise–uniform vectorquantization. IEEE Trans. Image Process. , 2 , 140 - 146
    11. 11)
      • J.D. Gibson , K. Sayood . (1988) Lattice quantization, Advances in electronics and electron physics.
    12. 12)
      • Rothweiler, J.H.: `Polyphase quadrature filters: a new sub-band coding technique', Proceedings of ICASSP 83, 1983, p. 1280–1283.
    13. 13)
      • J.H. Conway , N.J.A. Sloane . Fast quantizing and decoding algorithm for lattice quantizers andcodes. IEEE Trans. , 2 , 227 - 232
    14. 14)
      • Johnston, J.D.: `A filter family designed for use in quadrature mirror filter bands', Proceedings of ICASSP 80, 1980, p. 291–294.
    15. 15)
      • J.W. Woods , S.D. O'Neil . Subband coding of images. IEEE Trans. , 5 , 1278 - 1288
    16. 16)
      • T.R. Fischer . A pyramid vector quantizer. IEEE Trans. , 4 , 568 - 583
    17. 17)
      • Y. Linde , A. Buzo , R.M. Gray . An algorithm for vector quantizer design. IEEE Trans. , 84 - 95
    18. 18)
      • H. Gharavi , A. Tabatabai . Sub-band coding of monochrome and color images. IEEE Trans. , 2 , 207 - 214
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-vis_19971050
Loading

Related content

content/journals/10.1049/ip-vis_19971050
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address