Inpainting with image patches for compression

  • Authors:
  • Dong Liu;Xiaoyan Sun;Feng Wu

  • Affiliations:
  • University of Science and Technology of China, Hefei 230027, China;Microsoft Research Asia, Beijing 100190, China;Microsoft Research Asia, Beijing 100190, China

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2012

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Abstract

We propose a patch-based image compression framework inspired by the inpainting techniques. The repeated patterns in one image are exploited for compression in a non-parametric manner, i.e., directly sampling image patches and encoding the similarity between them. We show how this idea leads to an assisted inpainting method, and how the inpainting method can be integrated into a patch-based image compression framework in a rate-distortion (R-D) optimal fashion. Two specific techniques - assisted inpainting for decoding, and R-D optimization for encoding by mode selection or image analysis - are presented in this paper. Experimental results show that compared with standard H.264 intra coding, our system (1) achieves up to 0.85dB gain when optimized for objective quality and (2) saves as much as 25% bit-rate at similar subjective quality levels.