No abstract

a) Source patch (d) Target image (b) Laplace membrane (e) Poisson cloning (c) Mean-value membrane (f) Mean-value cloningFigure 1: Poisson cloning smoothly interpolates the error along the boundary of the source and the target regions across the entire cloned region (the resulting membrane is shown in (b)), yielding a seamless composite (e). A qualitatively similar membrane (c) may be achieved via transfinite interpolation, without solving a linear system. (f) Seamless cloning obtained instantly using the mean-value interpolant. AbstractSeamless cloning of a source image patch into a target image is an important and useful image editing operation, which has received considerable research attention in recent years. This operation is typically carried out by solving a Poisson equation with Dirichlet boundary conditions, which smoothly interpolates the discrepancies between the boundary of the source patch and the target across the entire cloned area. In this paper we introduce an alternative, coordinate-based approach, where rather than solving a large linear system to perform the aforementioned interpolation, the value of the interpolant at each interior pixel is given by a weighted combination of values along the boundary. More specifically, our approach is based on Mean-Value Coordinates (MVC). The use of coordinates is advantageous in terms of speed, ease of implementation, small memory footprint, and parallelizability, enabling real-time cloning of large regions, and interactive cloning of video streams. We demonstrate a number of applications and extensions of the coordinate-based framework.