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6 March 2014 Subjective quality and depth assessment in stereoscopic viewing of volume-rendered medical images
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Proceedings Volume 9011, Stereoscopic Displays and Applications XXV; 90110E (2014)
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
No study to-date explored the relationship between perceived image quality (IQ) and perceived depth (DP) in stereoscopic medical images. However, this is crucial to design objective quality metrics suitable for stereoscopic medical images. This study examined this relationship using volume-rendered stereoscopic medical images for both dual- and single-view distortions. The reference image was modified to simulate common alterations occurring during the image acquisition stage or at the display side: added white Gaussian noise, Gaussian filtering, changes in luminance, brightness and contrast. We followed a double stimulus five-point quality scale methodology to conduct subjective tests with eight non-expert human observers. The results suggested that DP was very robust to luminance, contrast and brightness alterations and insensitive to noise distortions until standard deviation σ=20 and crosstalk rates of 7%. In contrast, IQ seemed sensitive to all distortions. Finally, for both DP and IQ, the Friedman test indicated that the quality scores for dual-view distortions were significantly worse than scores for single-view distortions for multiple blur levels and crosstalk impairments. No differences were found for most levels of brightness, contrast and noise distortions. So, DP and IQ didn’t react equivalently to identical impairments, and both depended whether dual- or single-view distortions were applied.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Johanna Rousson, Jeanne Couturou, Arnout Vetsuypens, Ljiljana Platisa, Asli Kumcu, Tom Kimpe, and Wilfried Philips "Subjective quality and depth assessment in stereoscopic viewing of volume-rendered medical images", Proc. SPIE 9011, Stereoscopic Displays and Applications XXV, 90110E (6 March 2014);


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