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Stereoscopic Image Inpainting Considering the Consistency of Texture Similarity

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Advances in Depth Image Analysis and Applications (WDIA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7854))

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Abstract

Recently, as 3D display devices become popular, automatic editing methods for stereoscopic image become important. In this paper, we propose an inpainting method for a stereoscopic image considering the texture similarity. By extending the conventional image inpainting method for an image considering the texture similarity to for a stereoscopic image by considering the consistency of two images, natural results are obtained by our method. As in the conventional methods for a stereoscopic image inpainting, first the depth maps are recovered and then the color images are inpainted based on the depth maps in our method. Consistency of the depth maps is guaranteed in our method which are important for the inpainting of color image. For color image inpainting, similar textures are searched considering not only the depth layer but also the depth values of respective pixels. Experimental results demonstrate the efficiency of our method.

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References

  1. Masnou, S., Morel, J.-M.: Level lines based disocclusion. In: Proc. of ICIP, vol. 3, pp. 259–263 (1998)

    Google Scholar 

  2. Bertalmio, M., Sapiro, G., et al.: Image Inpainting. In: Proc. of SIGGRAPH, pp. 417–424 (2000)

    Google Scholar 

  3. Chan, T.F., Shen, J.: Non-Texture Inpainting by Curvature-Driven Diffusions (CDD). Journal of Visual Communication and Image Representation 12, 436–449 (2001)

    Article  Google Scholar 

  4. Efros, A.A., Leung, T.K.: Texture synthesis by non-parametric sampling. In: Proc. of ICCV, vol. 2, pp. 1033–1038 (1999)

    Google Scholar 

  5. Komodakis, N.: Image Completion Using Global Optimization. In: Proc. of CVPR, vol. 1, pp. 442–452 (2006)

    Google Scholar 

  6. Wexler, Y., Shechtman, E., et al.: Space-Time Completion of Video. IEEE Trans. on PAMI 29(3), 463–476 (2007)

    Article  Google Scholar 

  7. Criminisi, A., Perez, P., et al.: Region filling and object removal by exemplar-based inpainting. IEEE Trans. on IP 13(9), 1200–1212 (2004)

    Google Scholar 

  8. Kawai, N., Sato, T., et al.: Image Inpainting Considering Brightness Change and Spatial Locality of Textures. In: Proc. of VISAPP, vol. 1, pp. 66–73 (2008)

    Google Scholar 

  9. Wang, L., Jin, H., et al.: Stereoscopic inpainting: Joint color and depth completion from stereo images. In: Proc. of CVPR, pp. 1–8 (2008)

    Google Scholar 

  10. Hervieu, A., Papadakis, N., et al.: Stereoscopic Image Inpainting: Distinct Depth Maps and Images Inpainting. In: Proc. of ICPR, pp. 4101–4104 (2010)

    Google Scholar 

  11. Hervieu, A., Papadakis, N., et al.: Stereoscopic image inpainting using scene geometry. In: Proc. of ICME, pp. 1–6 (2011)

    Google Scholar 

  12. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. on PAMI 26(9), 1124–1137 (2004)

    Article  Google Scholar 

  13. Horng, Y.R., et al.: Stereoscopic images generation with directional Gaussian filter. In: Proc. of ISCAS, pp. 2650–2653 (2010)

    Google Scholar 

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© 2013 Springer-Verlag Berlin Heidelberg

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Abe, A., Shimizu, I. (2013). Stereoscopic Image Inpainting Considering the Consistency of Texture Similarity. In: Jiang, X., Bellon, O.R.P., Goldgof, D., Oishi, T. (eds) Advances in Depth Image Analysis and Applications. WDIA 2012. Lecture Notes in Computer Science, vol 7854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40303-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-40303-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40302-6

  • Online ISBN: 978-3-642-40303-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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