Perceptually Meaningful Image Editing: Depth
نویسندگان
چکیده
We introduce the concept of perceptually meaningful image editing and present two techniques for manipulating the apparent depth of objects in an image. The user loads an image, selects an object and specifies whether the object should appear closer or further away. The system automatically determines target values for the object and/or background that achieve the desired depth change. These depth editing operations, based on techniques used by traditional artists, manipulate either the luminance or color temperature of different regions of the image. By performing blending in the gradient domain and reconstruction with a Poisson solver, the appearance of false edges is minimized. The results of a preliminary user study, designed to evaluate the effectiveness of these techniques, are also presented. Type of Report: Other Department of Computer Science & Engineering Washington University in St. Louis Campus Box 1045 St. Louis, MO 63130 ph: (314) 935-6160 EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos (Guest Editors) Volume 25 (2006), Number 3 Perceptually Meaningful Image Editing: Depth Reynold J. Bailey and Cindy M. Grimm† Washington University in St. Louis
منابع مشابه
Grimm Perceptually meaningful image editing Manipulating perceived depth and creating the illusion of motion in 2 D images
R.J. Bailey ( ) ·C.M. Grimm Department of Computer Science and Engineering, Washington University, St. Louis, USA {rjb1, cmg}@cse.wustl.edu Abstract We introduce a novel concept called perceptually meaningful image editing and present techniques for manipulating the apparent depth of objects and creating the illusion of motion in 2D images. Our techniques combine principles of human visual perc...
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