A Variational Model for Histogram Transfer of Color Images
Résumé
In this paper we propose a variational formulation for intermediate color histogram equalization of two or more images. We study an energy functional composed by three terms: one tends to approach the cumulative histograms of the original images, the other two tends to maintain the initial colors and geometry. By minimizing this energy, we obtain an algorithm that balances equalization and conservative features. As a result, the original images evolve approaching the intermediate histogram between the original images. As a novel result, this midway histogram does not need to be specified in advance, but it is a natural result of the model. Finally, we provide experiments showing that the proposed method compares well with the state of the art.
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