• DocumentCode
    185091
  • Title

    Adaptive texture synthesis based on perceived texture regularity

  • Author

    Varadarajan, Srenivas ; Karam, Lina J.

  • Author_Institution
    Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2014
  • fDate
    18-20 Sept. 2014
  • Firstpage
    76
  • Lastpage
    80
  • Abstract
    This paper presents the influence of perceived texture regularity on the visual quality of textures that are synthesized through parametric and non-parametric approaches. It is shown through subjective testing that textures with different degrees of perceived regularity exhibit different degrees of vulnerability to texture synthesis artifacts. The paper also proposes a method for adaptively selecting the appropriate texture synthesis algorithm based on an objective no-reference texture regularity metric. It is shown through subjective testing that the proposed adaptive texture synthesis performs better than the individual methods.
  • Keywords
    image texture; nonparametric statistics; visual perception; adaptive texture synthesis; nonparametric approaches; objective no-reference texture regularity metric; perceived texture regularity; texture synthesis algorithm; texture visual quality; Conferences; Databases; Image segmentation; Measurement; Multimedia communication; Testing; Visualization; Randomness; Texture Analysis; Texture Regularity; Texture Synthesis; Visual Quality Assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality of Multimedia Experience (QoMEX), 2014 Sixth International Workshop on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/QoMEX.2014.6982299
  • Filename
    6982299