Fast image rearrangement via multi-scale patch copying

  • Authors:
  • Jiayao Hu;Shifeng Chen;Jianzhuang Liu;Xiaoou Tang

  • Affiliations:
  • University of Science and Technology of China, Hefei, China;Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China;The Chinese University of Hong Kong, Hong Kong, China;The Chinese University of Hong Kong, Hong Kong, China

  • Venue:
  • Proceedings of the international conference on Multimedia
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a simple interactive way for a novel type of image synthesis called image rearrangement whose goal is to construct a new image based on some objects cropped from source images. The synthesis results are obtained by copying patches from the source images in a globally consistent way. The patch copying problem is formulated with the Markov random field model, and belief propagation is used as the optimization tool. To speed up our algorithm, a two-step belief propagation and a multi-scale patch copying scheme are taken. Experimental results indicate that our algorithm obtains satisfactory results in both performance and efficiency.