Phase based image quality assessment

Srinivasan Rajagopalan, Richard Robb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
EditorsM.P. Eckstein, Y. Jiang
Pages373-382
Number of pages10
Volume5749
DOIs
StatePublished - 2005
EventMedical Imaging 2005 - Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 15 2005Feb 17 2005

Other

OtherMedical Imaging 2005 - Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CitySan Diego, CA
Period2/15/052/17/05

Fingerprint

Image Quality Assessment
Image quality
Metric
Visual Perception
Image Quality
visual perception
Wavelet transforms
Structural Similarity
Fourier transforms
Image processing
Agglomeration
Cross-correlation
Statistics
Availability
Correlate
Wavelet Transform
Intuitive
Image Processing
Fourier transform
Aggregation

Keywords

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Engineering(all)
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Applied Mathematics
  • Condensed Matter Physics

Cite this

Rajagopalan, S., & Robb, R. (2005). Phase based image quality assessment. In M. P. Eckstein, & Y. Jiang (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 5749, pp. 373-382). [41] https://doi.org/10.1117/12.594655

Phase based image quality assessment. / Rajagopalan, Srinivasan; Robb, Richard.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. ed. / M.P. Eckstein; Y. Jiang. Vol. 5749 2005. p. 373-382 41.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rajagopalan, S & Robb, R 2005, Phase based image quality assessment. in MP Eckstein & Y Jiang (eds), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 5749, 41, pp. 373-382, Medical Imaging 2005 - Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, United States, 2/15/05. https://doi.org/10.1117/12.594655
Rajagopalan S, Robb R. Phase based image quality assessment. In Eckstein MP, Jiang Y, editors, Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 5749. 2005. p. 373-382. 41 https://doi.org/10.1117/12.594655
Rajagopalan, Srinivasan ; Robb, Richard. / Phase based image quality assessment. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. editor / M.P. Eckstein ; Y. Jiang. Vol. 5749 2005. pp. 373-382
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