基于视觉显著性的立体显示灰阶串扰量化

夏振平; 程成

doi:10.3788/YJYXS20173201.0062

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基于视觉显著性的立体显示灰阶串扰量化

显示与图像 | 更新时间：2020-07-07

- 基于视觉显著性的立体显示灰阶串扰量化
- Visual saliency based gray-to-gray crosstalk evaluation in stereoscopic displays
- 液晶与显示 2017年32卷第1期页码：62-68
- 作者机构：
  
  苏州科技大学电子与信息工程学院, 江苏苏州 215009
- 作者简介：
  
  夏振平(1985-),男,江苏兴化人,博士,讲师,主要从事立体显示图像质量测量、评价和优化方面的研究。E-mail:xzp@usts.edu.cn
- 基金信息：
  
  江苏省高校自然科学研究面上项目资助(No.15KJB510030);苏州科技大学科研基金(No.XKQ201421);Supported by the University Natural Science Research Program of Jiangsu Province(No.15KJB510030);Science Research Foundation of Suzhou University of Science and Technology(No.XKQ201421)
- DOI：10.3788/YJYXS20173201.0062
  中图分类号： TN27
- 收稿日期：2016-09-12，
  
  录用日期：2016-10-19，
  
  纸质出版日期：2017-01
- 稿件说明：
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夏振平, 程成. 基于视觉显著性的立体显示灰阶串扰量化[J]. 液晶与显示, 2017,32(1):62-68.

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.
夏振平, 程成. 基于视觉显著性的立体显示灰阶串扰量化[J]. 液晶与显示, 2017,32(1):62-68. DOI： 10.3788/YJYXS20173201.0062.

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.

摘要

为了更为合理地评价立体显示系统中的串扰现象，对传统灰阶串扰进行了加权并进一步单一数值量化。研究选取了大量涵盖各种类型和场景的立体图像，对每一灰阶转换组合出现的概率进行统计，同时提取立体图像视觉显著性，提出了平均灰阶转换显著性的概念。平均灰阶转换显著性以矩阵形式呈现，应用其对传统灰阶串扰矩阵加权后可获得更为合理的灰阶串扰。加权后的灰阶串扰矩阵求和后即可获得数值范围在0%~100%的单一数值串扰。提出的加权灰阶串扰及其数值单一化方法充分考虑了图像内容和人眼视觉关注机理的影响，得到的评价结果更加客观、合理。同时，研究结果对串扰现象的优化以及视觉舒适度的提高具有指导和推动作用。

Abstract

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.

田浩南,张叶.基于边缘及特征点匹配的立体图像质量评价[J].液晶与显示,2015,30(4):666-672.

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)

王晓燕,王世刚,姜秀红,等.亮度优化立体视频视觉舒适度评价[J].中国光学,2015,8(3):394-400.

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.

柯洪昌,孙宏彬.图像序列的显著性目标区域检测方法[J].中国光学,2015,8(5):768-774.

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.

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