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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 39, Iss. 35 — Dec. 10, 2000
  • pp: 6613–6620

Signal-to-noise ratio for temporal integrated drifting images: a model for perceived image sharpening

Gregory J. Power and Kirk E. Sturtz  »View Author Affiliations


Applied Optics, Vol. 39, Issue 35, pp. 6613-6620 (2000)
http://dx.doi.org/10.1364/AO.39.006613


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Abstract

A formulation of signal-to-noise ratio is constructed that uses temporal integrated images from image sequences. Given a blurred image that drifts horizontally at various speeds and at various linear blurs, we prove that this formulation of the signal-to-noise ratio consistently increases with an increase in speed. This increase is shown to model the trends in the human vision system by which drifting blurred images are perceived with increased sharpness. The existing widely used objective quality techniques fail to model the perceptual increase in sharpness. This new formulation, along with other objective quality measures, is tested on several blurred drifting image sequences. The new formulation reflects the theoretically predicted increase in perceived sharpness.

© 2000 Optical Society of America

OCIS Codes
(000.3860) General : Mathematical methods in physics
(110.2960) Imaging systems : Image analysis
(110.3000) Imaging systems : Image quality assessment
(330.4060) Vision, color, and visual optics : Vision modeling
(330.5020) Vision, color, and visual optics : Perception psychology
(330.6790) Vision, color, and visual optics : Temporal discrimination

History
Original Manuscript: January 14, 2000
Revised Manuscript: August 10, 2000
Published: December 10, 2000

Citation
Gregory J. Power and Kirk E. Sturtz, "Signal-to-noise ratio for temporal integrated drifting images: a model for perceived image sharpening," Appl. Opt. 39, 6613-6620 (2000)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-39-35-6613

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