Title: Multi-source intrinsic colourisation

Authors: Hong Li; Xiling Sheng; Su Yang; Wei Zhang; Clement K. Kirui

Addresses: School of Information Science and Engineering, Central South University, Changsha, 410083, China ' School of Information Science and Engineering, Central South University, Changsha, 410083, China ' Petroleum Engineering College, Southwest Petroleum University, Chengdu, 610500, China ' School of Architecture, Hunan University, Changsha, 410083, China ' School of Information Science and Engineering, Central South University, Changsha, 410083, China

Abstract: A novel scheme combined with example-based colourisation and scribble-based colourisation is presented according to differences of illumination eliminated between the target image and multiple reference images. As the target image and reference images are in different illumination conditions, all the images are classified as illumination images and reflectance images to remove the affect of illumination. After modelling the regional colour distribution, appropriate colours are selected from given reference reflection images to colourise each target reflectance region. The recoloured target reflection image and the target illumination image are combined to obtain the final result. Experimental results demonstrate that our method generates more powerful performance than previous ones.

Keywords: colour transfer; colourisation; intrinsic images; multi-source images; illumination differences; target image; reference images; modelling; colour distribution.

DOI: 10.1504/IJAACS.2015.069562

International Journal of Autonomous and Adaptive Communications Systems, 2015 Vol.8 No.2/3, pp.150 - 163

Received: 26 Jan 2013
Accepted: 13 Apr 2013
Published online: 27 May 2015 *

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