OSA's Digital Library

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


View Full Text Article

Enhanced HTML    Acrobat PDF (1230 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

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


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. H. de Ridder, “Current issues and new techniques in visual quality assessment,” in Proceedings of the IEEE International Conference on Image Processing, Lausanne, Switzerland, 16–19 Sept. 1996, Vol. 1, pp. 869–872 (1996).
  2. C. H. Graham, R. Margaria, “Area and the intensity-time relation in the peripheral retina,” Am. J. Physiol. 113, 299–305 (1935).
  3. H. B. Barlow, “Temporal and spatial summation in human vision at different background intensities,” J. Physiol. (London) 141, 337–350 (1958).
  4. D. C. Burr, “Motion smear,” Nature 284, 164–165 (1980). [CrossRef] [PubMed]
  5. P. J. Bex, G. K. Edgar, A. T. Smith, “Sharpening of drifting, blurred images,” Vision Res. 35, 2539–2546 (1995). [CrossRef] [PubMed]
  6. S. T. Hammett, “Motion blur and motion sharpening in the human visual system,” Vision Res. 37, 2505–2510 (1997). [CrossRef] [PubMed]
  7. S. T. Hammett, M. A. Georgeson, A. Gorea, “Motion blur and motion sharpening: temporal smear and local contrast non-linearity,” Vision Res. 38, 2099–2108 (1998). [CrossRef] [PubMed]
  8. J. H. D. M. Westerink, C. Teunissen, “Perceived sharpness in moving images,” in Human Vision and Electronic Imaging: Models, Methods, and Applications, J. P. Allebach, B. E. Rogowitz, eds., Proc. SPIE1249, 78–87 (1990).
  9. J. H. D. M. Westerink, K. Teunissen, “Perceived sharpness in complex moving images,” Displays 16, 89–97 (1995). [CrossRef]
  10. J. Jonides, D. Irwin, S. Yantis, “Integrating visual information from successive fixations,” Science 215, 192–194 (1982). [CrossRef] [PubMed]
  11. American National Standards Institute, Digital Transport of One-Way Video Signals—Parameters for Objective Performance Assessment, ANSI T1.801.03—1996 (Alliance for Telecommunications Industry Solutions, Washington, D.C., 1996.

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited