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Vector Correlation of Color Images
C. E. Moxey
T. A. Ell
S. J. Sangwine
  DOI :  10.2352/CGIV.2002.1.1.art00072  Published Online :  January 2002
Abstract

Auto-correlation and cross-correlation have been used in signal and image processing for many years, but have only recently been applied to color images. Since the correlation of individual signals and gray-scale images yields a measure of structural similarity, in each of their dimensions, the correlation of n-dimensional signals should yield similarity measures of n-dimensional space. This paper presents, for the first time, evidence that a vector correlation peak encodes both the structural similarity and also a mapping of the vector-space rotation between two color images.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2002.1.1.art00072
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C. E. Moxey, T. A. Ell, S. J. Sangwine, "Vector Correlation of Color Images"  in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 343 - 347,  https://doi.org/10.2352/CGIV.2002.1.1.art00072

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Copyright © Society for Imaging Science and Technology 2002
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20020101)2002:1L.343;1-
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Articles
Vector Correlation of Color Images
MoxeyC. E.
EllT. A.
SangwineS. J.
01012002
2002
1
343
347
2002
Auto-correlation and cross-correlation have been used in signal and image processing for many years, but have only recently been applied to color images. Since the correlation of individual signals and gray-scale images yields a measure of structural similarity, in each of their dimensions, the correlation of n-dimensional signals should yield similarity measures of n-dimensional space. This paper presents, for the first time, evidence that a vector correlation peak encodes both the structural similarity and also a mapping of the vector-space rotation between two color images.