Compression with Vision Technologies

نویسندگان

  • Xiaoyan Sun
  • Feng Wu
  • Shipeng Li
چکیده

In this paper, we propose a method for image compression in which currently developed vision technologies are incorporated with traditional transform-based coding methods. Based on newly developed vision technologies, we present two coding-oriented inpainting methods: structure-aware inpainting and object-based inpainting. Examples show the effectiveness of these inpainting methods on information recovery employing certain kinds of assistant information. Moreover, a primary image compression system has been built to test the proposed compression approach in which some regions are intentionally removed at the encoder only to be restored naturally at the decoder. Up to a 50% bit savings can be achieved at similar visual quality levels when compared with JPEG.

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تاریخ انتشار 2006