Signal Processing Magazine Special Issue
on Signal Processing for Art Ivestigation

Call for Paper                                                  White Paper LaTeX template

Contributions from interdisciplinary teams that include both art experts and signal processing researchers are strongly encouraged and will be preferred

White Papers:
White papers, limited to four double-space pages, should summarize the motivation, the significance of the topic, a brief summary, an outline of the content, and key references. Prospective authors should submit white papers in pdf format at:
- A LaTeX White Paper template is available, its use is not mandatory. 
- Please note that Invitation does not imply acceptance: submissions will through the regular IEEE review process.

Submission Procedure:

Submissions must be done through IEEE WebSite.
If you do not yet have an account on manuscript central, you need to create one.
Once logged in, select Author Center
then start a submission process by clicking on "Click here to submit a new manuscript"
When you start the submission process, select "Special issue: Signal Processing for Art Investigation" in first menu.
Then follow submission process.

- White Paper due: July, 11th, 2014,             - Invitation Notification: Aug., 8th, 2014 
 - Manuscript due: Nov., 24th, 2014              - Acceptance/Rejection Notification: Jan., 16th, 2015
 - Revised manuscript due: Feb., 6th, 2015    - Final Notification: Feb. 20th, 2015 
 - Final manuscript due: March, 6th, 2015      - Publication: July, 2015

Relevant topics: include (but are not limited to) signal processing for the automation of: 
- Canvas thread counting,  Canvas roll-mate identification
 - Brushwork characterization, Painter identification and style characterization via brushwork
 - Period and style quantification and classification, Methods for quantifying and comparing color usage by artist, subject, school, or period 
 - Separation of artist's marks from material properties such as removal of canvas weave and stretcher bars from x-radiographs of paintings on canvas
 - Aids for dating and attribution of art objects, Forgery detection 
 - Methods for quantifying and comparing color usage by artist, subject, school, or period 
 - Texture characterization, Texture classification of photographic papers 
 - Laid paper mold-mate identification 
 - Dendrochronological tree-ring marking for wood panel supports 
 - Documenting physical changes art historical object using imaging technologies 
 - Painting surface craquelure detection and simulated in-painting 
 - Sequencing fine scratch appearance/disappearance in a series of intaglio prints from the same plate 
 - Assessment of small changes over time in art objects due to aging, treatment, transport, vibration or environmental conditions 
 - Paper watermark matching, Non-invasive under-drawing reconstruction 
 - Stitching of high resolution sub-images into large composites 
 - Multispectral image registration; Multispectral non invasive materials analysis 
- Identification of paint materials from microscopic multi-layer samples
 - Huge database searching for art objects with matching features such as ``identical'' noses, ears, or fingers in human figure paintings or the same iconographical items such as attributions of the saints in religious paintings
 - Simulated color correction to counteract aging and degradation 3-D rendering from multiple 2-D images ; Reconstruction of shattered murals, ceramics, and statues

Guest Editors:
Patrice Abry, CNRS, ENS Lyon, France,
Andrew G. Klein, Worcester Polytechnic Institute, USA,
William Sethares,  University of Wisconsin, USA,
C. Richard Johnson, Jr., Cornell University, USA,