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Proceedings Paper

Color transfer between high-dynamic-range images
Author(s): Hristina Hristova; Rémi Cozot; Olivier Le Meur; Kadi Bouatouch
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Paper Abstract

Color transfer methods alter the look of a source image with regards to a reference image. So far, the proposed color transfer methods have been limited to low-dynamic-range (LDR) images. Unlike LDR images, which are display-dependent, high-dynamic-range (HDR) images contain real physical values of the world luminance and are able to capture high luminance variations and finest details of real world scenes. Therefore, there exists a strong discrepancy between the two types of images. In this paper, we bridge the gap between the color transfer domain and the HDR imagery by introducing HDR extensions to LDR color transfer methods. We tackle the main issues of applying a color transfer between two HDR images. First, to address the nature of light and color distributions in the context of HDR imagery, we carry out modifications of traditional color spaces. Furthermore, we ensure high precision in the quantization of the dynamic range for histogram computations. As image clustering (based on light and colors) proved to be an important aspect of color transfer, we analyze it and adapt it to the HDR domain. Our framework has been applied to several state-of-the-art color transfer methods. Qualitative experiments have shown that results obtained with the proposed adaptation approach exhibit less artifacts and are visually more pleasing than results obtained when straightforwardly applying existing color transfer methods to HDR images.

Paper Details

Date Published: 22 September 2015
PDF: 13 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95990S (22 September 2015); doi: 10.1117/12.2186774
Show Author Affiliations
Hristina Hristova, Univ. de Rennes 1 (France)
Rémi Cozot, Univ. de Rennes 1 (France)
Olivier Le Meur, Univ. de Rennes 1 (France)
Kadi Bouatouch, Univ. de Rennes 1 (France)


Published in SPIE Proceedings Vol. 9599:
Applications of Digital Image Processing XXXVIII
Andrew G. Tescher, Editor(s)

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