Phase based image quality assessment

Srinivasan Rajagopalan, Richard Robb

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Image quality assessment plays a crucial role in many applications. Since the ultimate receiver in most of the image processing environments are humans, objective measures of quality that correlate with subjective perception are actively sought. Limited success has been achieved in deriving robust quantitative measures that can automatically and efficiently predict perceived image quality. The majority of structural similarity techniques are based on aggregation of local statistics within a local window. The choice of right window sizes to produce results compatible with visual perception is a challenging task with these methods. This paper introduces an intuitive metric that exploits the dominance of Fourier phase over magnitude in images. The metric is based on cross correlation of phase images to assess the image quality. Since the phase captures structural information, a phase-based similarity metric would best mimic the visual perception. With the availability of multi-dimensional Fourier and wavelet transforms, this metric can be directly used to assess quality of multi-dimensional images.

Original languageEnglish (US)
Article number41
Pages (from-to)373-382
Number of pages10
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
StatePublished - 2005
EventMedical Imaging 2005 - Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 15 2005Feb 17 2005


  • Cross correlation
  • Fourier phase
  • Image quality assessment
  • Kendall rank correlation
  • Phase dominance

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging
  • Biomaterials


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