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Volume: 11 | Article ID: art00017
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Color Image Processing UsingWavelet-based Multiscale Edges
Bruce Thomas
  DOI :  10.2352/CIC.2003.11.1.art00017  Published Online :  January 2003
Abstract

This paper introduces a new approach to color image processing that operates on multiscale edge descriptions of color component images. The multiscale edges are computed in the wavelet domain and recorded using theWavelet TransformModulusMaxima representation. The resulting description provides a means for assessing the strength and significance of individual edges, with deference to edges that coincide between color components. This leads to an effective means for suppressing noise in color images. A method of edge sharpening is also demonstrated. Results show the viability of this new form of processing.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CIC.2003.11.1.art00017
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Bruce Thomas, "Color Image Processing UsingWavelet-based Multiscale Edges"  in Proc. IS&T 11th Color and Imaging Conf.,  2003,  pp 94 - 99,  https://doi.org/10.2352/CIC.2003.11.1.art00017

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Copyright © Society for Imaging Science and Technology 2003
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(20030101)2003:1L.94;1-
cic_v2003n1/splitsection17.xml
/ist/cic/2003/00002003/00000001/art00017
Articles
Color Image Processing UsingWavelet-based Multiscale Edges
ThomasBruce
01012003
2003
1
94
99
2003
This paper introduces a new approach to color image processing that operates on multiscale edge descriptions of color component images. The multiscale edges are computed in the wavelet domain and recorded using theWavelet TransformModulusMaxima representation. The resulting description provides a means for assessing the strength and significance of individual edges, with deference to edges that coincide between color components. This leads to an effective means for suppressing noise in color images. A method of edge sharpening is also demonstrated. Results show the viability of this new form of processing.