DocumentCode :
45429
Title :
Quaternion Wiener Deconvolution for Noise Robust Color Image Registration
Author :
Pedone, Matteo ; Bayro-Corrochano, Eduardo ; Flusser, Jan ; Heikkila, Janne
Author_Institution :
Center of Machine Vision Res., Univ. of Oulu, Oulu, Finland
Volume :
22
Issue :
9
fYear :
2015
fDate :
Sept. 2015
Firstpage :
1278
Lastpage :
1282
Abstract :
In this letter, we propose a global method for registering color images with respect to translation. Our approach is based on the idea of representing translations as convolutions with unknown shifted delta functions, and performing Wiener deconvolution in order to recover the shift between two images. We then derive a quaternionic version of the Wiener deconvolution filter in order to register color images. The use of Wiener filter also allows us to explicitly take into account the effect of noise. We prove that the well-known algorithm of phase correlation is a special case of our method, and we experimentally demonstrate the advantages of our approach by comparing it to other known generalizations of the phase correlation algorithm.
Keywords :
Wiener filters; correlation methods; deconvolution; image colour analysis; image registration; Wiener deconvolution filter; global method; noise robust color image registration; phase correlation algorithm; quaternionic version; shifted delta functions; Color; Correlation; Deconvolution; Equations; Image color analysis; Noise; Quaternions; Clifford algebra; Wiener filter; multivector derivative; phase correlation; quaternion;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2015.2398033
Filename :
7029035
Link To Document :
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