Free appearance-editing with improved poisson image cloning

  • Authors:

  • Xiao-Hui Bie;Hao-Da Huang;Wen-Cheng Wang

  • Affiliations:

  • State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;Microsoft Research Asia, Beijing, China;State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • Journal of Computer Science and Technology - Special issue on Natural Language Processing
  • Year:
  • 2011

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Abstract

In this paper, we present a new edit tool for the user to conveniently preserve or freely edit the object appearance during seamless image composition. We observe that though Poisson image editing is effective for seamless image composition. Its color bleeding (the color of the target image is propagated into the source image) is not always desired in applications, and it provides no way to allow the user to edit the appearance of the source image. To make it more flexible and practical, we introduce new energy terms to control the appearance change, and integrate them into the Poisson image editing framework. The new energy flmction could still be realized using efficient sparse linear solvers, and the user can interactively refine the constraints. With the new tool, the user can enjoy not only seamless image composition, but also the flexibility to preserve or manipulate the appearance of the source image at the same time. This provides more potential for creating new images. Experimental results demonstrate the effectiveness of our new edit tool, with similar time cost to the original Poisson image editing.