IEEE Computer Graphics and Applications
Accurate 3D image colour histogram transformation
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Example-based color stylization based on categorical perception
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Second order image statistics in computer graphics
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Colorization using optimization
ACM SIGGRAPH 2004 Papers
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
N-Dimensional Probablility Density Function Transfer and its Application to Colour Transfer
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Color transfer based remote sensing image fusion using non-separable wavelet frame transform
Pattern Recognition Letters
Color transfer in correlated color space
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
An efficient PCA-based color transfer method
Journal of Visual Communication and Image Representation
Automated colour grading using colour distribution transfer
Computer Vision and Image Understanding
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Color Imaging: Fundamentals and Applications
Color Imaging: Fundamentals and Applications
Motion estimation based color transfer and its application to color video compression
Pattern Analysis & Applications
Selective color transfer with multi-source images
Pattern Recognition Letters
Progressive histogram reshaping for creative color transfer and tone reproduction
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
An effective algorithm for image sequence color transfer
Mathematical and Computer Modelling: An International Journal
Color style transfer techniques using hue, lightness and saturation histogram matching
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Example-based video color grading
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Colour transfer algorithms aim to apply a colour palette, mood or style from one image to another, operating either in a threedimensional colour space, or splitting the problem into three simpler one-dimensional problems. The latter class of algorithms simply treats each of the three dimensions independently, whether justified or not. Although they rarely introduce spatial artefacts, the quality of the results depends on how the problem was split into three sub-problems, i.e. which colour space was chosen. Generally, the assumption is made that a decorrelated colour space would perform best, as decorrelation makes the three colour channels semi-independent (decorrelation is a weaker property than independence). However, such spaces are only decorrelated for well-chosen image ensembles. For individual images, this property may not hold. In this work, the connection between the natural statistics of colour images and the ability of existing colour transfer algorithms to produce plausible results is investigated. This work aims to provide a better understanding of the performance of different colour spaces in the context of colour transfer.