• Acta Optica Sinica
  • Vol. 38, Issue 2, 0215001 (2018)
Jiajie Hu, Sumei Li*, Yongli Chang, Zhaoqi Zhu, and Chunping Hou
Author Affiliations
  • School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
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    DOI: 10.3788/AOS201838.0215001 Cite this Article Set citation alerts
    Jiajie Hu, Sumei Li, Yongli Chang, Zhaoqi Zhu, Chunping Hou. Measurement of Comfortable Contrast Range of Stereo Image Based on Salient Region[J]. Acta Optica Sinica, 2018, 38(2): 0215001 Copy Citation Text show less
    References

    [1] Yano S, Emoto M, Mitsuhashi T. Two factors in visual fatigue caused by stereoscopic HDTV images[J]. Displays, 25, 141-150(2004). http://www.sciencedirect.com/science/article/pii/S0141938204000678

    [2] Yano S, Ide S, Mitsuhashi T et al. A study of visual fatigue and visual comfort for 3D HDTV/HDTV images[J]. Displays, 23, 191-201(2002). http://www.sciencedirect.com/science/article/pii/S0141938202000380

    [3] Lambooij M, Ijsselsteijn W, Heynderickx A I. Stereoscopic displays and visual comfort: A review[M]. Einhoven: Einhoven University of Technology Einhoven Univeristy of Technology Philips Research(2007).

    [4] Zheng H D, Yu Y J, Cheng W M. A review on three-dimensional display techniques[J]. Optical Technique, 34, 426-434(2008).

    [5] Pan H, Daly S. 3D video disparity scaling for preference and prevention of discomfort[C]. SPIE, 7863, 786306(2011).

    [6] Jincheol P, Heeseok O, Lee S et al. 3D visual discomfort predictor: Analysis of horizontal disparity and neural activity statistics[J]. IEEE Transactions on Image Processing, 24, 1101-1104(2015). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6990512

    [7] Xia Z P, Cheng C. Steroescopic display image depth adjustment based on visual saliency[J]. Acta Optica Sinica, 37, 0133001(2017).

    [8] Liu C, Li S M, Zhu D et al. Quantitative research of the hue parameter influence on the visual comfort of stereoscopic images[J]. Journal of Optoelectronics·Laser, 25, 178-185(2014).

    [9] International Organization for Standardization. Image safety: Reducing the incidence of undesirable biomedical effects caused by visual image sequences[S]. Switzerland: ISO Copyright Office IHS(2005).

    [10] Chen J, Zhou J, Sun J et al. Visual discomfort prediction on stereoscopic 3D images without explicit disparities[J]. Image Communication, 51, 50-60(2017). http://dl.acm.org/citation.cfm?id=3031476

    [11] So G J, Kim S H, Kim J Y. Evaluation model of the visual fatigue on the 3D stereoscopic video[J]. International Journal of Computer and Engineering, 8, 336-342(2016). http://www.researchgate.net/publication/283174709_Evaluation_Model_of_the_Visual_Fatigue_on_the_3D_Stereoscopic_Video

    [12] Liu C, Li S M. Measurement of contrast range affecting comfort of stereoscopic images[J]. Journal of Optoelectronics·Laser, 25, 748-755(2014).

    [13] Jung C, Wang S. Visual comfort assessment in stereoscopic 3D images using salient objectdisparity[J]. Electronics Letters, 51, 482-484(2015). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7062099

    [16] Ma L S[J]. Application of Grubbs test in equipment comparison test Opencast Mining Technology, 2014, 62-64.

    [17] Beijing Technology Quality Control Office, . DBII/T384.5-2009,(2009).

    [18] Harel J, Christof K, Perona P. Graph-based visual saliency[J]. Advances in Neural Information Processing Systems, 19, 545-552(2007).

    [19] Wang J. Da Silva M P, LeCallet P, et al. Computational model of stereoscopic 3D visual saliency[J]. IEEE Transactions on Image Processing, 22, 2151-2165(2013).

    [20] Schölkopf B, Platt J, Hofmann T. Graph-Based visual saliency[J]. Advances in Neural Information Processing Systems, 19, 545-552(2007).

    [21] Christoph R, Asmaa H, Michael B et al. Fast cost-volume filtering for visual correspondence and beyond[C]. Computer Vision and Pattern Recognition (CVPR), 3017-3024(2011).

    [22] Li Z M. Research on image segmentation algorithm based on fuzzy clustering[D]. Changsha: Hunan University(2009).

    [23] Jiang Q P, Shao F, Jiang G Y et al. An objective stereoscopic image visual comfort assessment metric based on visual important regions[J]. Chinese Journal of Electronics and Information Technology, 36, 875-881(2014).

    [24] Yu W J. The research of image segmentation method based on improved adaptive genetic algorithm and out method[D]. Haikou: Hainan University(2012).

    [25] Liu C. Quantitative analysis and assessment research on factors influencing the visual comfort of stereoscopic image[D]. Tianjin: Tianjin University(2014).

    [26] Ming J, Xu H F, Yang Y. Research of space similarity analysis model with Weber-Fechner law[J]. Journal of University of Science and Technology of China, 40, 1148-1152(2010).

    [27] Hou X, Zhang L. Saliency detection: A spectral residual approach[C]. IEEE Conference on Computer Vision and Pattern Recognition, 9738156(2007).

    [28] Yang Y R, Dai Y. Evaluation of the effect on eye aberration on retinal imaging quality based on the root mean square error and correlation coefficient[J]. Acta Optica Sinica, 37, 0333001(2017).

    [29] Johnson G M, Fairchild M D. A top down description of S-CIELAB and CIEDE2000[J]. Color Research & Application, 28, 425-435(2010). http://ci.nii.ac.jp/naid/30011102385

    CLP Journals

    [1] Yongli Chang, Sumei Li, Jiajie Hu, Xu Han. Measurement of Comfortable Range of Stereo Image Saturation Based on Salient Region[J]. Acta Optica Sinica, 2018, 38(7): 0710003

    [2] Jiajie Hu, Sumei Li, Yongli Chang, Chunping Hou. Comfortable Disparity Range of Stereo Image Based on Salient Region[J]. Acta Optica Sinica, 2018, 38(8): 0811001

    Jiajie Hu, Sumei Li, Yongli Chang, Zhaoqi Zhu, Chunping Hou. Measurement of Comfortable Contrast Range of Stereo Image Based on Salient Region[J]. Acta Optica Sinica, 2018, 38(2): 0215001
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