Fast Poisson blending using multi-splines

Computational Photography(2011)

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摘要
We present a technique for fast Poisson blending and gradient domain compositing. Instead of using a single piecewise-smooth offset map to perform the blending, we associate a separate map with each input source image. Each individual offset map is itself smoothly varying and can therefore be represented using a low-dimensional spline. The resulting linear system is much smaller than either the original Poisson system or the quadtree spline approximation of a single (unified) offset map. We demonstrate the speed and memory improvements available with our system and apply it to large panoramas. We also show how robustly modeling the multiplicative gain rather than the offset between overlapping images leads to improved results, and how adding a small amount of Laplacian pyramid blending improves the results in areas of inconsistent texture.
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关键词
image processing,splines (mathematics),Laplacian pyramid blending,fast Poisson blending,gradient domain compositing,low-dimensional spline,multiplicative gain,multisplines,piecewise-smooth offset map,quadtree spline approximation
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