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Lossless quantization of Hadamard transform coefficients

Wilfried Philips UGent, Koen Denecker, Peter De Neve UGent and Steven Van Assche (2000) IEEE TRANSACTIONS ON IMAGE PROCESSING. 9(11). p.1995-1999
abstract
This paper shows that an n X 1 integer vector can be exactly recovered from its Hadamard transform coefficients, even when 0.5n log(2)(n) of the (less significant) bits of these coefficients are removed. The paper introduces a fast "lossless" dequantization algorithm for this purpose. To investigate the usefulness of the procedure in data compression, the paper investigates an embedded block image coding technique called the "LHAD" based on the algorithm. The results show that lossless compression ratios close to the state of the art can be achieved, but that techniques such as CALIC and S+P still perform better.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (letterNote)
publication status
published
subject
keyword
COMPRESSION
journal title
IEEE TRANSACTIONS ON IMAGE PROCESSING
IEEE Trans. Image Process.
volume
9
issue
11
pages
1995-1999 pages
Web of Science type
Letter
Web of Science id
000090078800018
ISSN
1057-7149
DOI
10.1109/83.877223
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
129778
handle
http://hdl.handle.net/1854/LU-129778
date created
2004-01-14 13:36:00
date last changed
2016-12-19 15:37:49
@article{129778,
  abstract     = {This paper shows that an n X 1 integer vector can be exactly recovered from its Hadamard transform coefficients, even when 0.5n log(2)(n) of the (less significant) bits of these coefficients are removed. The paper introduces a fast {\textacutedbl}lossless{\textacutedbl} dequantization algorithm for this purpose. To investigate the usefulness of the procedure in data compression, the paper investigates an embedded block image coding technique called the {\textacutedbl}LHAD{\textacutedbl} based on the algorithm. The results show that lossless compression ratios close to the state of the art can be achieved, but that techniques such as CALIC and S+P still perform better.},
  author       = {Philips, Wilfried and Denecker, Koen and De Neve, Peter and Van Assche, Steven},
  issn         = {1057-7149},
  journal      = {IEEE TRANSACTIONS ON IMAGE PROCESSING},
  keyword      = {COMPRESSION},
  language     = {eng},
  number       = {11},
  pages        = {1995--1999},
  title        = {Lossless quantization of Hadamard transform coefficients},
  url          = {http://dx.doi.org/10.1109/83.877223},
  volume       = {9},
  year         = {2000},
}

Chicago
Philips, Wilfried, Koen Denecker, Peter De Neve, and Steven Van Assche. 2000. “Lossless Quantization of Hadamard Transform Coefficients.” Ieee Transactions on Image Processing 9 (11): 1995–1999.
APA
Philips, Wilfried, Denecker, K., De Neve, P., & Van Assche, S. (2000). Lossless quantization of Hadamard transform coefficients. IEEE TRANSACTIONS ON IMAGE PROCESSING, 9(11), 1995–1999.
Vancouver
1.
Philips W, Denecker K, De Neve P, Van Assche S. Lossless quantization of Hadamard transform coefficients. IEEE TRANSACTIONS ON IMAGE PROCESSING. 2000;9(11):1995–9.
MLA
Philips, Wilfried, Koen Denecker, Peter De Neve, et al. “Lossless Quantization of Hadamard Transform Coefficients.” IEEE TRANSACTIONS ON IMAGE PROCESSING 9.11 (2000): 1995–1999. Print.