A monotonic and continuous two-dimensional warping based on dynamic programming

A two-dimensional warping algorithm is presented which searches for the optimal pixel mapping subject to continuity and monotonicity constraints. These constraints enable us to preserve topological structure in images. The search algorithm is based on dynamic programming (DP). As implementation techniques, acceleration by beam search and excessive warp suppression by penalty and/or range limitation are investigated. Experimental results show that this method provides successful warpings between images