Abstract
We propose a new mathematical model for color images taking into account that color pixels change under transformation of the light source. For this, we deal with (ρ,G)-equivariant functions on principal bundles, where ρ is a representation of a Lie group G on the color space RGB. We present an application to image regularization, by minimization of the Polyakov action associated to the graph of such functions. We test the groups \({\rm I\!R}^{+\ast}\), DC(3) of contractions and dilatations of \({\rm I\!R}^3\) and SO(3) with their natural matrix representations, as well as \({\rm I\!R}^{+\ast}\) with its trivial representation. We show that the regularization has denoising properties if the representation is unitary and segmentation properties otherwise.
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© 2012 Springer-Verlag Berlin Heidelberg
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Batard, T., Sochen, N. (2012). Polyakov Action on (ρ,G)-Equivariant Functions Application to Color Image Regularization. In: Bruckstein, A.M., ter Haar Romeny, B.M., Bronstein, A.M., Bronstein, M.M. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2011. Lecture Notes in Computer Science, vol 6667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24785-9_41
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DOI: https://doi.org/10.1007/978-3-642-24785-9_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24784-2
Online ISBN: 978-3-642-24785-9
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