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Volume: 1 | Article ID: art00079
Color Images De-Noising by Wavelet Maxima Representation and Regions Segmentation
  DOI :  10.2352/CGIV.2002.1.1.art00079  Published OnlineJanuary 2002

In this paper, we present a multiresolution approach for color image de-noising by image reconstruction. The proposed method relies on a modified wavelet reconstruction algorithm. This algorithm does not use the wavelet maxima generated by decomposition but a new maxima representation. This new representation is calculated from a multi-scale region segmentation approach. The multi-scale segmentation process allows us to obtain closed edges (vital for a correct image reconstruction) and a more simple selection of most significant edges (the less affected by noise). The image de-noising result is judged by the uniformity of the reconstructed image regions.

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Adrian Stoica, Philippe Carré, Christine Fernandez-Maloigne, "Color Images De-Noising by Wavelet Maxima Representation and Regions Segmentationin Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 375 - 379,

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