Image Appearance Exploration by Model-Based Navigation

dc.contributor.authorShapira, L.en_US
dc.contributor.authorShamir, A.en_US
dc.contributor.authorCohen-Or, D.en_US
dc.date.accessioned2015-02-23T10:17:30Z
dc.date.available2015-02-23T10:17:30Z
dc.date.issued2009en_US
dc.description.abstractChanging the appearance of an image can be a complex and non-intuitive task. Many times the target image colors and look are only known vaguely and many trials are needed to reach the desired results. Moreover, the effect of a specific change on an image is difficult to envision, since one must take into account spatial image considerations along with the color constraints. Tools provided today by image processing applications can become highly technical and non-intuitive including various gauges and knobs.In this paper we introduce a method for changing image appearance by navigation, focusing on recoloring images. The user visually navigates a high dimensional space of possible color manipulations of an image. He can either explore in it for inspiration or refine his choices by navigating into sub regions of this space to a specific goal. This navigation is enabled by modeling the chroma channels of an image s colors using a Gaussian Mixture Model (GMM). The Gaussians model both color and spatial image coordinates, and provide a high dimensional parameterization space of a rich variety of color manipulations. The user s actions are translated into transformations of the parameters of the model, which recolor the image. This approach provides both inspiration and intuitive navigation in the complex space of image color manipulations.en_US
dc.description.number2en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01403.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages629-638en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01403.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleImage Appearance Exploration by Model-Based Navigationen_US
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