Paper
29 February 2008 Ghosting reduction method for color anaglyphs
Author Affiliations +
Proceedings Volume 6803, Stereoscopic Displays and Applications XIX; 68031G (2008) https://doi.org/10.1117/12.766422
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
Anaglyph is the simplest and the most economical method for 3D visualization. However, anaglyph has several drawbacks such as loss of color or visual discomfort, e.g., region merging and the ghosting effect. In particular, the ghosting effect, which is caused by green penetrating to the left eye, brings on a slight headache, dizziness and vertigo. Therefore, ghosting effects have to be reduced to improve the visual quality and make viewing of the anaglyph comfortable. Since red lightness is increased by penetration by green, the lightness of the red band has to be compensated for. In this paper, a simple deghosting method is proposed using the red lightness difference of the left and right images. We detected a ghosting area with the criterion, which was calculated from the statistics of the difference image, and then the red lightness of the anaglyph was changed to be brighter or darker according to the degree of the difference. The amount of change of red lightness was determined empirically. These adjustments simultaneously reduced the ghosting effect and preserved the color lightness within the non-ghosting area. The proposed deghosting method works well, and the goal of this paper was to detect the ghosting area automatically and to reduce the ghosting.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
An Jin Chang, Hye Jin Kim, Jae Wan Choi, and Ki Yun Yu "Ghosting reduction method for color anaglyphs", Proc. SPIE 6803, Stereoscopic Displays and Applications XIX, 68031G (29 February 2008); https://doi.org/10.1117/12.766422
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Cited by 7 scholarly publications.
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KEYWORDS
Eye

Visualization

Glasses

Optical filters

LCDs

Image filtering

Statistical analysis

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