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Eigen-gap of structure transition matrix: A new criterion for Image Quality Assessment

Joneidi, M ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/DSP-SPE.2015.7369582
  3. Publisher: 2015
  4. Abstract:
  5. A new approach to Image Quality Assessment (IQA) is presented. The idea is based on the fact that two images are similar if their structural relationship within their blocks is preserved. To this end, a transition matrix is defined which exploits structural transitions between corresponding blocks of two images. The matrix contains valuable information about differences of two images, which should be transformed to a quality index. Eigen-value analysis over the transition matrix leads to a new distance measure called Eigen-gap. According to simulation results, the Eigen-gap is not only highly correlated to subjective scores but also, its performance is as good as the SSIM, a trustworthy index
  6. Keywords:
  7. Transition Matrix ; Signal processing ; Eigen-gap ; Image quality assessment ; Image quality assessment (IQA) ; Structural clustering ; Structural relationship ; Structural transitions ; Structure transitions ; Transition matrices ; Image quality
  8. Source: IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015, 9 August 2015 through 12 August 2015 ; 2015 , Pages 370-375 ; 9781467391696 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7369582