Photographic stitching with optimized object and color matching based on image derivatives.

In this paper, a novel optimization stitching method is presented. It minimizes an energy function defined with derivatives up to the second order. We have identified some appropriate choices for its variables allowing it to reduce artifacts produced by some well-known problems i.e. ghosting, color inconsistency and misalignment. To speed up the computation, a multi-resolution technique is introduced. The significant speedup and memory saving make it possible for use in hand-held capturing devices.