Volume: 5, Issue: 3(2005)
pp. 617-637 DOI: 10.1142/S0219467805001914
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| Title: |
LOCALLY ADAPTIVE CHROMATIC RESTORATION OF DIGITALLY ACQUIRED PAINTINGS |
| Author(s): |
FRÉDÉRIC DRAGO
Computer Graphics Laboratory, Iwate University, Ueda 4-3-5, Morioka, 020-8551, Iwate, JapanNORISHIGE CHIBA
Computer Graphics Laboratory, Iwate University, Ueda 4-3-5, Morioka, 020-8551, Iwate, Japan
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| History: |
Received 16 May 2003
Revised 31 October 2003
Accepted 28 January 2004
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| Abstract: |
This article presents a semi-automatic procedure to restore the visual appearance of aged paintings converted to a digital form. The innovative implementation of an image-processing algorithm based on the Retinex theory of human vision alleviates layers of yellowed varnish and dust, restores chromatic balance and contrast, and recovers some of the original painted details. This virtual cleaning of artwork is totally non-intrusive and can be applied automatically to color images of paintings or ancient illustrations. Cleaned virtual reproductions help art historians and restorers in their research and classification work, and also show the artwork in good condition to a wide audience while avoiding an always costly and dangerous manual restoration. |
| Keywords: |
Artistic heritage preservation; image processing; Retinex theory of vision; virtual restoration of artwork
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