2019

Real-time gradient-domain painting

James McCann, Nancy S. Pollard
Carnegie Mellon University
ACM Trans. Graph., Vol. 27, No. 3. (2008), pp. 1-7

@article{mccann2008real,

   title={Real-time gradient-domain painting},

   author={McCann, J. and Pollard, N.S.},

   journal={ACM Transactions on Graphics-TOG},

   volume={27},

   number={3},

   pages={93–93},

   issn={0730-0301},

   year={2008},

   publisher={Citeseer}

}

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We present an image editing program which allows artists to paint in the gradient domain with real-time feedback on megapixel-sized images. Along with a pedestrian, though powerful, gradient-painting brush and gradient-clone tool, we introduce an edge brush designed for edge selection and replay. These brushes, coupled with special blending modes, allow users to accomplish global lighting and contrast adjustments using only local image manipulations — e.g. strengthening a given edge or removing a shadow boundary. Such operations would be tedious in a conventional intensity-based paint program and hard for users to get right in the gradient domain without real-time feedback. The core of our paint program is a simple-to-implement GPU multigrid method which allows integration of megapixel-sized full-color gradient fields at over 20 frames per second on modest hardware. By way of evaluation, we present example images produced with our program and characterize the iteration time and convergence rate of our integration method.
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