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: http://mc.manuscriptcentral.com/spmag-ieee.
- 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.
http://mc.manuscriptcentral.com/spmag-ieee
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.

Schedule:
- 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, patrice.abry@ens-lyon.fr
Andrew G. Klein, Worcester Polytechnic Institute, USA, klein@ece.wpi.edu
William Sethares,  University of Wisconsin, USA, sethares@gmail.com
C. Richard Johnson, Jr., Cornell University, USA, johnson@ece.cornell.edu