• Title/Summary/Keyword: CVDP

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Chemical Vapor Deposition Polymerization of Poly(arylenevinylene)s and Applications to Nanoscience

  • Joo, Sung-Hoon;Lee, Chun-Young;Kim, Kyung-kon;Lee, Ki-Ryong;Jin, Jung-Il
    • Bulletin of the Korean Chemical Society
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    • v.27 no.2
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    • pp.169-184
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    • 2006
  • A review is made on the chemical vapor deposition polymerization (CVDP) of insoluble and infusible poly(arylenevinylene)s and its applications to nanoscience. Poly(p-phenylenevinylene) (PPV), poly(naphthylenevinylene)s, poly(2,5-thinenylenevinylene) (PTV), and other homologous polymers containing oligothiophenes could be prepared by the CVDP method in the form of films, tubes, and fibers of nano dimensions. They would be readily converted to graphitic carbons of different structures by thermal treatment. Field emission FE) of carbonized PPV nanotubes, photoconductivity of carbonized PPV/PPV bilayer nanotubes and nanofilms also were studied.

Visible Distortion Predictors Based on Visual Attention in Color Images

  • Cho, Sang-Gyu;Hwang, Jae-Jeong;Kwak, Nae-Joung
    • Journal of information and communication convergence engineering
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    • v.10 no.3
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    • pp.300-306
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    • 2012
  • An image attention model and its application to image quality assessment are discussed in this paper. The attention model is based on rarity quantification, which is related to self-information to attract the attention in an image. It is relatively simpler than the others but results in taking more consideration of global contrasts between a pixel and the whole image. The visual attention model is used to develop a local distortion predictor, named color visual differences predictor (CVDP), in color images in order to effectively detect luminance and color distortions.