A unified gradient domain method for seamless image processing

  • Authors:
  • Shiming Ge;Kongqiao Wang;Hao Wang;Feng Zhao

  • Affiliations:
  • School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China and Nokia Research Center, Beijing, China;Nokia Research Center, Beijing, China;Nokia Research Center, Beijing, China;School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China and Nokia Research Center, Beijing, China

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

Seamless image processing concerns stitching parts of images in a visually natural manner. In this paper, we present a seamless processing method which unifies Featuring, Optimal seam method [1] and some recent gradient domain methods including Poisson image editing [2], Drag-and-drop pasting [3] and GIST [4]. To evaluate the processing quality visually, a variational energy function is proposed to compute both the similarity of the stitched image to each of the input images and the visibility of the seam between the stitched images. The minimum of the energy function gives a globally consistent composition in both geometrical and photometric structures. Based on 3 propositions, we study the energy function and compare it with other methods theoretically. The experimental results show the benefits of our stitching method.