• DocumentCode
    2381038
  • Title

    Quality assessment based on noise influencing force

  • Author

    Du, Juan ; Xie, Sheng-Li ; Yu, Ying-lin

  • Author_Institution
    Sch. of Electron. & Information Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    3
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    This article introduces a new image quality assessment: QNIF (quality assessment based on noise influencing force). Considering uneven property of noise distribution, we put forward the concept of noise influencing significance area. Analyzing noise in significance area coverage is to identify the property that noise destructiveness on image structure can approach to human visual system. In addition, in view of human eyes´ physiological characteristics of gaze and fast jump, QNIF also includes noise area influencing image quality. Test result shows that QNIF performance is evidently superior to traditional MSE because it can effectively estimate different types of quality reduction.
  • Keywords
    image resolution; noise; human visual system; image quality assessment; image structure; noise destructiveness; noise distribution; noise influencing force; quality assessment; Distortion measurement; Humans; Image analysis; Image processing; Image quality; Quality assessment; Signal processing; Testing; Visual perception; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530433
  • Filename
    1530433