Grogan, Mairéad and Prasad, Mukta and Dahyot, Rozenn (2015) L2 Registration for Colour Transfer. 2015 23rd European Signal Processing Conference (EUSIPCO). ISSN 2076-1465

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Abstract

This paper proposes to perform colour transfer by minimising a divergence (the L2 distance) between two colour distributions. We propose to model each dataset by a compact Gaussian mixture which is designed for the specific purpose of colour transfer between images which have different scene content. A non rigid transformation is estimated by minimising the Euclidean distance (L2) between these two distributions and the estimated transformation is used for transfering colour statistics from one image to another. Experimental results show that this is a very promising approach for transferring colour and it performs very well against an alternative reference approach.

Item Type:	Article
Keywords:	Colour transfer; registration; L2; Gaussian Mixtures;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15261
Identification Number:	https://doi.org/10.1109/EUSIPCO.2015.7362799
Depositing User:	Rozenn Dahyot
Date Deposited:	18 Jan 2022 12:23
Journal or Publication Title:	2015 23rd European Signal Processing Conference (EUSIPCO)
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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