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Digital Image Processing Techniques for the Detection a
abstract Many paintings, especially old ones, suffer from breaks in the substrate, the paint, or the varnish. These patterns are usually called cracks or craquelure and can be caused by aging, drying, and mechanical factors. Age cracks can result from nonuniform contraction in the canvas or wood-panel support of the painting, which stresses the layers of the painting. Drying cracks are usually caused by the evaporation of volatile paint components and the consequent shrinkage of the paint. Finally,mechanical cracks result from painting deformations due to external causes, e.g., vibrations and impacts. The appearance of cracks on paintings deteriorates the perceivedimage quality.
However, one can use digital image processing techniques to detect and eliminate the cracks on digitized paintings. Such a “virtual” restoration can provide clues to art historians, museum curators and the general public on how the painting would look like in its initial state, i.e., without the cracks. Furthermore, it can be used as a nondestructive tool for the planning of the actual restoration. The user should manually select a point on each crack to be restored.Other research areas that are closely related to crack removal include image inpainting which deals with the reconstruction of missing or damaged image areas by filling in information from the neighboring areas, and disocclusion, i.e., recovery of object parts that are hidden behind other objects within an image.
for more info please view the link:-
http://web.iiit.ac~varun_varshney/data/dip/ppt.pptx
http://web.iiit.ac~varun_varshney/data/dip/report.pdf
