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Image Color Transfer with Naturalness Constraints

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In consumer imaging applications involving photo collages or composition of user photos with professional artwork, inconsistent color appearance of photos and artwork from different sources can result in compositions that do no look aesthetically pleasing. Users often express a desire to modify individual images to achieve a more consistent color appearance. Prior work in color transfer that extract the color properties of one image and apply it to another have shown very interesting results [1,2]. These works focused on achieving an artistic effect, usually without the constraint of conserving object color. In consumer imaging, we have to be more conscious about conserving general object color and especially skin tones, which are not amenable to aggressive color change. In this paper we describe an algorithm to estimate the color and tone properties of an image and transfer these properties to another image under a strong naturalness constraint. In our method, color changes are constrained to correspond to incomplete adaptation under natural illuminants. We use a simple Bayesian method to characterize scene color properties, expressed as scene color temperature and illumination levels. An existing color adaptation model RLAB [3] is used to apply color changes by simulating incomplete adaptation to a colored target illuminant. We emphasize that this is not a method of white point estimation nor a white balance procedure Rather, we use color adaptation models as a means to ensure color adjustments to be “plausible”, and therefore maintain a natural appearance to the images even after significant color adjustments.
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Document Type: Research Article

Publication date: 2011-01-01

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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