ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 247-254, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
28 May 2018
E. Santellani, E. Maset, and A. Fusiello DPIA, University of Udine, Via delle Scienze, 208 - 33100 Udine, Italy
Keywords: Image mosaicking, Synchronization, Image alignment, Colour correction, Seams optimisation Abstract. This paper proposes an innovative method to create high-quality seamless planar mosaics. The developed pipeline ensures good robustness against many common mosaicking problems (e.g., misalignments, colour distortion, moving objects, parallax) and differs from other works in the literature because a global approach, known as synchronization, is used for image registration and colour correction. To better conceal the mosaic seamlines, images are cut along specific paths, computed using a Voronoi decomposition of the mosaic area and a shortest path algorithm. Results obtained on challenging real datasets show that the colour correction mitigates significantly the colour variations between the original images and the seams on the final mosaic are not evident.
Conference paper (PDF, 8546 KB)

Citation: Santellani, E., Maset, E., and Fusiello, A.: SEAMLESS IMAGE MOSAICKING VIA SYNCHRONIZATION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 247-254,, 2018.

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