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Abstract
This paper proposes a novel color correction scheme for image stitching where the color map transfer is modelled by a monotone Hermite cubic spline and smoothly propagated into the target image. A three-segments monotone cubic spline minimizing color distribution statistics and gradient differences with respect to both the source and target images is used. While the spline model can handle non-linear color maps, the minimization over the gradient differences limits strong alterations on the image structure. Adaptive heuristics are introduced to reduce the minimization search space and thus computational time. Experimental comparisons with respect to the state-of-the-art linear mapping models show the validity of the proposed method.
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References
Brown, M., Lowe, D.G.: Automatic panoramic image stitching using invariant features. Int. J. Comput. Vis.74(1), 59–73 (2007)
Burt, P.J., Adelson, E.H.: A multiresolution spline with application to image mosaics. ACM Trans. Graph.2(4), 217–236 (1983)
Fritsch, F.N., Carlson, R.E.: Monotone piecewise cubic interpolation. SIAM J. Numer. Anal.17(2), 238–246 (1980)
Jia, J., Tang, C.: Tensor voting for image correction by global and local intensity alignment. IEEE Trans. Pattern Anal. Mach. Intell.27(1), 36–50 (2005)
Reinhard, E., Ashikhmin, M., Gooch, B., Shirley, P.: Color transfer between images. IEEE Comput. Graph. Appl.21(5), 34–41 (2001)
Soille, P.: Morphological Image Analysis. Principles and Applications, 2nd edn. Springer, Heidelberg (2003)
Taiand, Y., Jia, J., Tang, C.: Local color transfer via probabilistic segmentation by expectation-maximization. In: Computer Vision and Pattern Recognition, pp. 747–754 (2005)
Uyttendaele, M., Eden, A., Szeliski, R.: Eliminating ghosting and exposure artifacts in image mosaics. In: Computer Vision and Pattern Recognition, pp. 509–516 (2001)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process.13(4), 600–612 (2004)
Xu, W., Mulligan, J.: Performance evaluation of color correction approaches for automatic multi-view image and video stitching. In: Computer Vision and Pattern Recognition, pp. 263–270 (2010)
Acknowledgement
This work has been carried out during the ARROWS project, supported by the European Commission under the Environment Theme of the “7th Framework Programme for Research and Technological Development”.
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Authors and Affiliations
Computational Vision Group, University of Florence, Firenze, Italy
Fabio Bellavia & Carlo Colombo
- Fabio Bellavia
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- Carlo Colombo
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Correspondence toFabio Bellavia.
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Editors and Affiliations
Universitat Politècnica de València, València, Spain
Roberto Paredes
Universidade do Porto, Porto, Portugal
Jaime S. Cardoso
Universidade de Santiago de Compostela, Santiago de Compostela, Spain
Xosé M. Pardo
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Bellavia, F., Colombo, C. (2015). Color Correction for Image Stitching by Monotone Cubic Spline Interpolation. In: Paredes, R., Cardoso, J., Pardo, X. (eds) Pattern Recognition and Image Analysis. IbPRIA 2015. Lecture Notes in Computer Science(), vol 9117. Springer, Cham. https://doi.org/10.1007/978-3-319-19390-8_19
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