Color transfer by fitting clouds of color points

Rafał Protasiuk; Władysław Skarbek

doi:10.1117/12.2280981

7 August 2017 Color transfer by fitting clouds of color points

Rafał Protasiuk, Władysław Skarbek

Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104450T (2017) https://doi.org/10.1117/12.2280981
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland

Abstract

Color transfer methods can alter color appearance in the input image by borrowing color statistics from the reference image. In this paper we present a novel color transfer method in which we consider both input and reference images as three-dimensional sets of data samples, where each color based component can be represented as a 3D cloud of data points. Our goal is to fit position, orientation and scale of color-component clouds from reference to input image by finding proper geometric transformation. Besides global processing approach we also present local color transfer method by applying our proposed algorithm to color segmented parts of images. We use pixel clustering for image segmentation to find groups of dominant colors pixels in each of input and reference images. Experimental results and comparisons with other methods confirm the validity and usefulness of presented method.

Citation Download Citation

Rafał Protasiuk and Władysław Skarbek "Color transfer by fitting clouds of color points", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104450T (7 August 2017); https://doi.org/10.1117/12.2280981

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