This article proposes an original method to estimate a continuous transformation that maps one N-dimensional distribution to another. The method is iterative, non-linear, and is shown to converge. Only 1D marginal distribution is used in the estimation process, hence involving low computation costs. As an illustration this mapping is applied to color transfer between two images of different contents. The paper also serves as a central focal point for collecting together the research activity in this area and relating it to the important problem of automated color grading.
N-dimensional probability density function transfer and its application to color transfer
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 ; 2 ; 1434-1439 Vol. 2
2005-01-01
643733 byte
Conference paper
Electronic Resource
English
N-Dimensional Probability Density Function Transfer and its Application to Colour Transfer
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