Paper
12 February 2007 Comparing realness between real objects and images at various resolutions
Kenichiro Masaoka, Masaki Emoto, Masayuki Sugawara, Yuji Nojiri
Author Affiliations +
Proceedings Volume 6492, Human Vision and Electronic Imaging XII; 64921F (2007) https://doi.org/10.1117/12.704947
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Image resolution is one of the important factors for visual realness. We performed subjective assessments to examine the realness of images at six different resolutions, ranging from 19.5 cpd (cycles per degree) to 156 cpd. A paired-comparison procedure was used to quantify the realness of six images versus each other or versus the real object. Three objects were used. Both real objects and images were viewed through a synopter, which removed horizontal disparity and presented the same image to both eyes. Sixty-five observers were asked to choose the viewed image which was closer to the real object and appeared to be there naturally for each pair of stimuli selected from the group of six images and the real object. It was undisclosed to the observers that real objects were included in the stimuli. The paired comparison data were analyzed using the Bradley-Terry model. The results indicated that realness of an image increased as the image resolution increased up to about 40-50 cpd, which corresponded to the discrimination threshold calculated based on the observers' visual acuity, and reached a plateau above this threshold.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenichiro Masaoka, Masaki Emoto, Masayuki Sugawara, and Yuji Nojiri "Comparing realness between real objects and images at various resolutions", Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64921F (12 February 2007); https://doi.org/10.1117/12.704947
Lens.org Logo
CITATIONS
Cited by 10 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image resolution

Visualization

RGB color model

Image filtering

Spatial frequencies

Data modeling

Image processing

RELATED CONTENT

Restoration of randomly sampled blurred images
Proceedings of SPIE (May 12 2016)
After digital cleaning: visualization of the dirt layer
Proceedings of SPIE (March 08 2011)
Logarithmic phase filter to extend the depth of field of...
Proceedings of SPIE (November 13 2001)

Back to Top