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Removal of Canvas Artifacts Using Decanv Algorithm

Neethu Unnikrishnan

Abstract


This paper mainly discuss about the removal of canvas artifacts from both high-resolution digital photographs and X-ray images of paintings on canvas. imaging modalities are common investigative tools in art history and art conservations. The Canvas artifacts manifest themselves very differently according to the acquisition modality; they can hamper the visual reading of the painting by an art experts, for instance, during restoration campaign. The Computer-aided canvas removal is desirable for restorers when the painting on canvas they are preparing to restore has acquired over the years a much more salient texture. So here propose a new algorithm that combines cartoon-texture decomposition method with adaptive multiscale thresholding in frequency domain or decanv algorithm to isolate and suppress the canvas components. DeCanv is mainly an source separation technique for removal of periodic structures, and applied it in the context of the novel application of canvas removal from digital image acquisitions of paintings on canvas.

 

Keywords: Digital painting analysis, canvas removal, denoising, periodic noise, source separation.


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References


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