In this paper, a general multi-valued image regularization method based on LIC's (line integral convolutions [B. Cabral, 1993]} is proposed. From the investigation of recent approaches based on multi-valued diffusion PDE's, we show how a regularization process is naturally decomposed, first as the estimation of its underlying smoothing geometry, and then, as the application of a locally and spatially oriented smoothing. Performing this last part using LIC's significatively improves the overall regularization process both in visual quality and processing time. We illustrate three different applications of our general regularization framework: color image denoising, inpainting and magnification.


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    Title :

    LIC-based regularization of multi-valued images


    Contributors:


    Publication date :

    2005-01-01


    Size :

    236167 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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