光子学报, 2018, 47 (1): 0133001, 网络出版: 2018-01-30   

基于显著性区域的立体图像舒适色度范围的测量

Measurement of Comfort Degree and Charomaticity Range of Stereo Image Based on Saliency Region
作者单位
天津大学 电气自动化与信息工程学院 无线宽带通信和立体成像研究所,天津 300072
摘要
结合视觉注意机制, 通过大量主观实验定量地对影响立体图像视觉舒适度的色度因素进行了研究.首先, 结合视差图和平面显著图获得立体显著度图, 再利用模糊隶属度和掩膜对其优化得出最终的显著立体图像, 并采用眼动仪对所得显著立体图像的合理性进行验证; 然后, 采用由粗到细的逐级逼近法获得实验数据, 利用视觉感知正常的被试者进行主观实验, 得到不同场景显著立体图像的舒适色度匹配图和差异图.实验结果表明, 左右视图舒适色度区间会随着不同场景而不同, 双目视图舒适色度差异值平均最大可为122.5°, 即左右视图色度差异不能过大.所得舒适色度范围很好地反映了立体图像的舒适度, 不仅为立体信息的质量评价提供了评判依据而且为立体内容的制作提供了更有力的技术支撑.
Abstract
Based on the visual attention mechanism, a large number of subjective experiments were conducted to quantitatively study the chromaticity factors that affect the visual comfort of stereo images. First, the stereo salient map was obtained by combining disparity map and flat salient map, then the stereo salient map was optimized by using fuzzy membership and mask to get final salient image, and the eye tracker was used for the salient stereoscopic images to verify the rationality; then, a gradual approach method was used for subjective experiments to obtain experimental data, and after that remarkable comfortable color matching map and difference map of three-dimensional images in different scenes were obtained by a large number of subjective experiments. The experimental results show that the comfort and chromaticity interval of left and right view will vary with different scenes, and the maximum average chromaticity comfort difference of binocular vision can be 122.5°, that is to say, the chromaticity difference between left and right views should not be too large. The comfort and chromaticity range obtained can reflect the comfort of stereo images well, and provide the basis for judging the quality of stereoscopic information and more powerful technical support for stereo content making.

段志成, 常永莉, 李素梅, 胡佳洁. 基于显著性区域的立体图像舒适色度范围的测量[J]. 光子学报, 2018, 47(1): 0133001. DUAN Zhi-cheng, CHANG Yong-li, LI Su-mei, HU Jia-jie. Measurement of Comfort Degree and Charomaticity Range of Stereo Image Based on Saliency Region[J]. ACTA PHOTONICA SINICA, 2018, 47(1): 0133001.

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