Image Quality Assessment Based on Multi-scale Geometric Analysis

  • Mingna Liu
  • Xin Yang
  • Yanfeng Shang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5716)

Abstract

A novel objective full-reference image quality assessment metric based on Multi-scale Geometric Analysis (MGA) of contourlet transform is proposed. Contourlet transform has excellent properties for image representation, such as multiresolution, localization and directionality, which are the key characteristics of human vision system. Utilizing multiresolution and directionality of MGA, we extract the distortion of structural information from different vision scale and edge direction. The degradation of image quality is evaluated based on the defined energy of structural distortion. Performance experiments are made on professional image quality database with five different distortion types. Compared with some state-of-the-art measures, the results demonstrate that the proposed method improves accuracy and robustness of image quality prediction.

Keywords

Image quality assessment contourlet transform image structure 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Mingna Liu
    • 1
  • Xin Yang
    • 1
  • Yanfeng Shang
    • 2
  1. 1.Institute of Image Processing and Pattern RecognitionShanghai Jiaotong UniversityP.R. China
  2. 2.Department of Electronics and InformaticsVrije Universiteit Brussel, IBBTBrusselBelgium

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