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[Ost00]  Optimal Halftoning for Network-Based Imaging

Ostromoukhov:2000:OHF (In proceedings)
Author(s)Ostromoukhov V.
Title« Optimal Halftoning for Network-Based Imaging »
InProceedings of Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI
SeriesSPIE Proceedings Series
Editor(s)Reiner Eschbach and Gabriel G. Marcu
Volume4300
Page(s)438--443
Year2000
PublisherSPIE
AddressBellingham, Washington
URLhttp://www.iro.umontreal.ca/~ostrom/publications/abstracts.html#SPIE01_Progressive
Editor(s)Reiner Eschbach and Gabriel G. Marcu

Abstract
In this contribution, we introduce a multiple depth progressive representation for network-based still and moving images. A simple quantization algorithm associated with this representation provides optimal image quality. By optimum, we mean the best possible visual quality for a given value of information under real life constraints such as physical, psychological , or legal constraints. A special variant of the algorithm, multi-depth coherent error diffusion, addresses a specific problem of temporal coherence between frames in moving images. The output produced with our algorithm is visually pleasant because its Fourier spectrum is close to the 'blue noise'.

BibTeX code
@inproceedings{Ostromoukhov:2000:OHF,
  optpostscript = {},
  www = {http://spie.org/scripts/abstract.pl?bibcode=2000SPIE%2e4300%2e%2e438O},
  optnote = {},
  optorganization = {},
  author = {Victor Ostromoukhov},
  optkey = {},
  series = {SPIE Proceedings Series},
  optannote = {},
  editor = {Reiner Eschbach and Gabriel G. Marcu},
  url = {http://www.iro.umontreal.ca/~ostrom/publications/abstracts.html#SPIE01_Progressive},
  localfile = {papers/Ostromoukhov.2000.OHF.pdf},
  address = {Bellingham, Washington},
  optisbn = {},
  publisher = {SPIE},
  optmonth = {},
  optciteseer = {},
  doi = {http://dx.doi.org/10.1117/12.410818},
  volume = {4300},
  optcrossref = {},
  booktitle = {Proceedings of Color Imaging: Device-Independent Color, Color
               Hardcopy, and Graphic Arts VI},
  optnumber = {},
  abstract = {In this contribution, we introduce a multiple depth progressive
              representation for network-based still and moving images. A simple
              quantization algorithm associated with this representation
              provides optimal image quality. By optimum, we mean the best
              possible visual quality for a given value of information under
              real life constraints such as physical, psychological , or legal
              constraints. A special variant of the algorithm, multi-depth
              coherent error diffusion, addresses a specific problem of temporal
              coherence between frames in moving images. The output produced
              with our algorithm is visually pleasant because its Fourier
              spectrum is close to the 'blue noise'.},
  title = {{O}ptimal {H}alftoning for {N}etwork-{B}ased {I}maging},
  year = {2000},
  pages = {438--443},
}

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