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Proceedings Paper

Visibility of uncorrelated image noise
Author(s): Jiajing Xu; Reno Bowen; Jing Wang; Joyce Farrell
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Paper Abstract

In this study, we evaluated the effect that pixel size has upon people's preferences for images. We used multispectral images of faces as the scene data and simulated the response from sensors with different pixel size while the other sensor parameters were kept constant. Subjects were asked to choose between pairs of images; we found that preference judgments were primarily influenced by the visibility of uncorrelated noise in the images. We used the SCIELAB metric (ΔE) to predict the visibility of the uncorrelated image noise. The S-CIELAB difference between a test image and an ideal reference image was monotonically related to the preference score.

Paper Details

Date Published: 19 January 2010
PDF: 8 pages
Proc. SPIE 7537, Digital Photography VI, 753703 (19 January 2010); doi: 10.1117/12.839011
Show Author Affiliations
Jiajing Xu, Stanford Univ. (United States)
Reno Bowen, Stanford Univ. (United States)
Jing Wang, Logitech Inc. (United States)
Joyce Farrell, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 7537:
Digital Photography VI
Francisco Imai; Nitin Sampat; Feng Xiao, Editor(s)

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