European
Signal Processing Special Issue on
Image Processing for Digital Art Work Investigation
Deadline Extension : Sept. 9th
Scope: Computer based
image processing of digital images of artwork in support of art
scholarship is an emerging and rapidly growing field of research.
This domain is, in essence, cross-disciplinary and involves teams of
academic image and signal processing scientists, art scholars and
conservators.
Meetings, recently held at the Van Gogh Museum in
Amsterdam, and at the Museum
of Modern Art in New York, SPIE Special sessions entitled Computer Vision and Image Analysis of Art,
gathered large and motivated audiences of very different origins and
yielded fruitful interactions, thus indicating a growing interest for
joint research efforts.
A recent and noticed contribution, issued in the IEEE Signal Processing
Magazine ((37), 2008), reporting Computerized Analysis of Vincent van
Gogh's Painting Brushtokes, paved the way toward more systematic
collaborative works integrating signal/image processing methodologies
and Art Work Investigation, with promising attempts along many
different directions (texture characterization, canvas
characterization, texture classification, stylometrics analysis,
X-ray imaging and analysis, computed-aided lighting analysis,
...).
Goals: In this context,
the aim of this Signal Processing
Special Issue is to report and promote significant contributions
intending to bridge gaps between mathematical and statistical signal
and image processing and computer sciences, with art history and art
conservation.
To that end, contributions that both propose up-to-date developments in
Signal/Image Processing Methodologies and address art historical
matters of interest will be favored.
Topics: relevant to the
Special Issue include (but are not restricted to):
- statistical image/signal processing to study questions of art
historical interest (e.g., authorship, dating, painter's working method)
- signal identification/classification or contour/texture
characterization methods for art, methods for creating virtual
restorations or reconstructions of damaged or aging art,
- signal processing tools designed to assist art
historians/conservators (e.g. virtual top layer removals, automatic
canvas weave analysis, or multispectral imaging data fusion),
- computer vision based methods to analyze a work's lighting or
subject,
- signal/image processing methods to identify a work's pigments or
material properties.
Instructions for submission:
- Submitted
contributions are expected not to exceed a 15 page limit (using the
final double column Signal
Processing format).
- LaTeX style files
available at
http://www.elsevier.com/wps/find/authorsview.authors/elsarticle,
see also http://www.elsevier.com/latex).
(Style file archive can be downloaded here)
- Submissions must be uploaded directly to the Elsevier Editorial
System
(EES) at http://ees.elsevier.com/sigpro/default.asp
IMPORTANT : authors must
select the article type “Special Issue: Digital Art Work
”
when they reach the “Article Type” step in the submission
process.
Tentative Schedule:
- Submission: Sept. 9th
- Notification: Oct. 15th
- Revision: Nov. 15th
- Publication: End of Year 2011 (Electronic publication as soon as
final versions are approved by authors)
Guest Editors:
- S. Hughes, University of Colorado at Boulder, USA
- I. Daubechies, Princeton University, USA
- Don H. Johnson, Rice University, USA
- E. Postma, Tilburg University, The Netherlands
- P. Abry, CNRS, Ecole Normale Sup\'erieure de Lyon, France
- E. Hendriks, Head of Conservation at the Van Gogh Museum,
Amsterdam, The Netherlands
- J. Coddington, Chief Conservator at the Museum of Modern Art, New
York, USA.
Contact: Please address any
technical question to the Guest Editors or refer to to be specified later.