Stereo Image Composition Using Poisson Object Editing 


Vol. 39,  No. 8, pp. 453-458, Aug.  2014


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  Abstract

In this paper, we propose a stereo image composition method based on Poisson image editing. If we synthesize images without considering their depth values, it may lead to unwanted consequences. When we segment an image into its background and foreground regions using Grabcut, we take into account their geometric positions to mix color tones; thus, the image is composited more naturally. After synthesizing images, we apply a blurring operation around object boundaries; then, the foreground object and background are composited more seamlessly. In addition, we can adjust the distance of the object by setting arbitrary depth values and generating right color and depth images automatically. Experimental results show that the proposed stereo image composition method provides naturally synthesized stereo images. Improved portions were subjectively confirmed as well.

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  Cite this article

[IEEE Style]

E. Baek and Y. Ho, "Stereo Image Composition Using Poisson Object Editing," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 8, pp. 453-458, 2014. DOI: .

[ACM Style]

Eu-Tteum Baek and Yo-Sung Ho. 2014. Stereo Image Composition Using Poisson Object Editing. The Journal of Korean Institute of Communications and Information Sciences, 39, 8, (2014), 453-458. DOI: .

[KICS Style]

Eu-Tteum Baek and Yo-Sung Ho, "Stereo Image Composition Using Poisson Object Editing," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 8, pp. 453-458, 8. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880