• DocumentCode
    2812663
  • Title

    No-reference image sharpness assessment based on local phase coherence measurement

  • Author

    Hassen, Rania ; Wang, Zhou ; Salama, Magdy

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2434
  • Lastpage
    2437
  • Abstract
    Sharpness is one of the most determining factors in the perceptual assessment of image quality. Objective image sharpness measures may play important roles in the design and optimization of visual perception-based auto-focus systems and image enhancement, restoration and compression algorithms. Here we propose a new sharpness measure where sharpness is identified as strong local phase coherence evaluated in the complex wavelet transform domain. Our test using the LIVE blur database shows that the proposed algorithm correlates well with subjective quality evaluations. An additional advantage of our approach is that other image distortions such as compression, median filtering and noise contamination that may affect perceptual sharpness can also be detected.
  • Keywords
    image enhancement; image restoration; optimisation; visual perception; wavelet transforms; LIVE blur database; complex wavelet transform domain; image compression; image distortions; image enhancement; image quality; image restoration; image sharpness assessment; local phase coherence measurement; objective image sharpness; optimization; perceptual assessment; visual perception-based auto-focus systems; Algorithm design and analysis; Coherence; Compression algorithms; Design optimization; Distortion measurement; Image enhancement; Image quality; Image restoration; Phase measurement; Pollution measurement; complex wavelet transform; image blur; image sharpness; local phase coherence; no-reference image quality assessment; perceptual image quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496297
  • Filename
    5496297