@article{Coltelli:1993:AQD,
optpostscript = {},
number = {3},
month = aug,
author = {P. Coltelli and Giorgio P. Faconti and F. Marfori},
optkey = {},
optannote = {},
url = {http://www.eg.org/EG/CGF/Volume12/issue3/v12i3pp351-362_abstract.html},
localfile = {papers/Coltelli.1993.AQD.pdf},
optkeywords = {},
doi = {http://dx.doi.org/10.1111/1467-8659.1230351},
optciteseer = {},
journal = j-CGF,
volume = {12},
optwww = {},
title = {{O}n the {A}pplication of {Q}uantization and {D}ithering {T}echniques
to {H}istory of {A}rts},
abstract = {The diffusion of computing techniques within humane studies is
considerably increasing, due to technological advances and
reduction in computing costs, with History of Arts being one of
the most interesting fields of application. In fact, several
domains related to works of arts might be investigated other than
archival and retrieval of information: this includes the planning
for the preservation and restoration, the developing of critical
examinations of artworks as well as the supporting of less
specialized activities such as teaching, presentation of museum
exhibitions and spreading of information. Within this framework,
it is of particular interest to review already known image
compression techniques from other fields and to evaluate their
applicability taking into account the peculiarities and the
requirements of this specific domain. A distinguishing aspect of
History of Arts is the requirement to keep the maximum
approximation of the original information on each point of an
image. This peculiarity strongly requires that the set of pixels
of the same color in the original image is bound to a unique color
in the final image and that each color in the final image uniquely
determines the set of colors it represents. This requirement
constrains the applicability in this domain to those quantization
algorithms satisfying this property while still minimizing the
quantization error. The paper gives a formal definition of the
above requirement and justifies the use of the quantization and
dithering algorithms based on the octree reduction technique.
Following, the results given by the application of these
techniques to several paintings are shown. Finally, the measured
quantization errors are compared with those obtained by applying
the median-cut algorithm.},
pages = {351--362},
year = {1993},
}
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