Zhen-ping XIA, Cheng CHENG. Visual saliency based gray-to-gray crosstalk evaluation in stereoscopic displays[J]. Chinese journal of liquid crystals and displays, 2017, 32(1): 62-68.
DOI:
Zhen-ping XIA, Cheng CHENG. Visual saliency based gray-to-gray crosstalk evaluation in stereoscopic displays[J]. Chinese journal of liquid crystals and displays, 2017, 32(1): 62-68. DOI: 10.3788/YJYXS20173201.0062.
Visual saliency based gray-to-gray crosstalk evaluation in stereoscopic displays
To evaluate the crosstalk phenomenon more reasonably in stereoscopic display systems
weighting and single value evaluation method is applied to traditional gray-to-gray crosstalk. The study selected a large number of three dimensional (3D) images with various types and scenes
and proposed average gray level transition saliency (AGLTS) concept based on probability analysis of each gray level transition and 3D image visual saliency extraction. AGLTS is also existing in matrix form and weighting the traditional gray-to-gray crosstalk matrix to get more reasonable gray-to-gray crosstalk. The elements in weighted gray-to-gray crosstalk matrix are added as the final single value for crosstalk evaluation
which is restricted in the range between 0 and 100 percent. The proposed weighted gray-to-gray crosstalk and it's single value evaluation method fully considers the effect of 3D image content and attention mechanism of human visual system on crosstalk
and the derived crosstalk evaluation is more objective and reasonable. The investigation result helps with the optimization of crosstalk and the improvement of visual comfort.
关键词
Keywords
references
MCINTIREJ P, HAVIG P R, GEISELMAN E E. Stereoscopic 3D displays and human performance:A comprehensive review[J]. Displays, 2014, 35:18-26.
TIAN H N, ZHANG Y. Quality evaluation of stereo image based on edge and characteristic point matching[J]. Chinese Journal of Liquid Crystals and Displays, 2015, 30(4):666-672. (in Chinese)
WANG X Y, WANG S G, JIANG X H. et al. Evaluation of stereo video visual comfort based on luminance optimization[J]. Chinese Optics, 2015, 8(3):394-400. (in Chinese)
HANHART P, EBRAHIMI T. Subjective evaluation of two stereoscopic imaging systems exploiting visual attention to improve 3D quality of experience[C]. Proceedings of SPIE-IS&T Electronic Imaging, 2014, 9011:90110D1-11.
ZAFAR F, BADANO A. Characterization of crosstalk in stereoscopic display devices[J]. Journal of the Society for Information Display, 2015, 22(12):613-622.
PALA S, STEVENS R AND SURMAN P. Optical crosstalk and visual comfort of a stereoscopic display used in a real-time application[C]. Proc. SPIE, 2007, 6490:1101-1112.
XIA Z P, LI X H, CUI Y. et al. A study on the perceptual relevance of crosstalk equations for stereoscopic displays[J]. Journal of the Society for Information Display, 2013, 21:271-279.
CHEN F H, YE P, HUANG F, et al. Method for 3D gray-to-gray crosstalk uniformity measurement with high perceptual relevance[J]. Journal of Information Display, 2015, 16(4):195-205.
KE H C AND SUN H B. A saliency target area detection method of image sequence[J]. Chinese Optics, 2015, 8(5):768-774. (in Chinese)
XIA Z P, CHENG C, HU F Y. et al. Image Saliency Detection based Depth Adjustment for Stereoscopic Image[C]. SID Symposium Digest, 2016:727-730.
HOU X D, ZHANG L Q. Saliency detection:A spectral residual approach[C]. Proceedings of IEEE on Computer Vision & Pattern Recognition, 2007:1-8.
WANG J, SILVA M P D, CALLET P L, et al. Computational Model of Stereoscopic 3D Visual Saliency[J]. IEEE Transactions on Image Processing, 2013, 22(6):2151-2165.
JIANG Q P, SHAO F, JIANG G Y, et al. A depth perception and visual comfort guided computational model for stereoscopic 3D visual saliency[J]. Signal Processing:Image Communication, 2015, 38:57-69.
Joint Technical Committel TE_001.AS/NZS 62087-2008. Methods of measurement for the power consumption of audio, video and related equipment[S]. Sydney, Australia, 2008.
FAIRHURST J. How an International Standard Reduced TV Power Consumption[C]. Proceedings of the IEEE, 2009, 97(3):474-475.
POTAPOVA E, ZILLICH M AND VINCZE M. Learning what matters:Combining probabilistic models of 2D and 3D saliency cues[C]. Proceedings of ICVS, 2011, 6962:132-142.