Paper
20 April 1995 Perception of edge sharpness in three-dimensional images
Masaki Emoto, Tetsuo Mitsuhashi
Author Affiliations +
Proceedings Volume 2411, Human Vision, Visual Processing, and Digital Display VI; (1995) https://doi.org/10.1117/12.207543
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
The quality of 3D images is usually perceived as being better than that of 2D images. In 2D images, edge sharpness is responsible for the quality. Accordingly, we examined the effects of the stereoscopic perception of edge sharpness on image quality by employing the categorized pair comparison method. We compared the sharpness of two types of natural 3D images with 2D images and found that the sharpness of 3D was not always perceived as being sharper than 2D. Next experiments were carried out to examine the role of rivalry on edge sharpness using a geometric image to which a local rivalry was artificially added. Results showed that the artificial local rivalry reduced the edge sharpness. Further experiments compared the sharpness of the vertical or horizontal edges in 3D images, which consisted of two planes (near and far), with that in 2D images. Consequently, the 3D vertical edge was as sharp as the 2D one, while the horizontal edge was perceived as being sharper than the 2D. As a result, the improvement in edge sharpness raises overall 3D image quality. Moreover, the perception of an occluded region in 3D images affected the edge sharpness. We also refer to the relationship between the perception and rivalry that might have caused interocular suppression.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Masaki Emoto and Tetsuo Mitsuhashi "Perception of edge sharpness in three-dimensional images", Proc. SPIE 2411, Human Vision, Visual Processing, and Digital Display VI, (20 April 1995); https://doi.org/10.1117/12.207543
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Cited by 7 scholarly publications.
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KEYWORDS
3D image processing

Image quality

3D acquisition

CRTs

Eye

3D displays

Human vision and color perception

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