...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of ambient intelligence and humanized computing >Subjective quality assessment of stereo image compression based on stereoscopic fusion in binocular vision
【24h】

Subjective quality assessment of stereo image compression based on stereoscopic fusion in binocular vision

机译：基于立体视觉立体融合的立体图像压缩主观质量评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Stereo image transmission needs a nominal doubling of the bandwidth of the video signal, but the additional savings in bandwidth can be obtained by utilizing properties of the human visual system. Embarking from human visual perception and binocular stereo imaging mechanism, this study proposes a new subjective assessment method of the quality of stereo image compression on the basis of the characteristics of human binocular vision and the psychophysics of stereoscopic fusion. Specifically, the present study explored the response of the human visual system to mixed-compressed stereo image sequences, in which one eye view was spatially and temporally compressed but the depth perception was unaffected. This method exploited the correlation between the left and right frames of the given sequence that can not only help achieving certain efficiency of stereo image transmission but also facilitate the consistency of the directly intuitive output evaluation value and the sensitivity of stereoscopic perception, which could also overcome the shortcomings of the traditional subjective quality evaluation method that restricted by subjective rating system, exhibits good feasibility and effectiveness.
机译：立体图像传输需要视频信号带宽的标称加倍，但是通过利用人类视觉系统的性质，可以获得带宽的额外节省。本研究提出了一种新的人类视觉观测和双目立体声成像机制，提出了一种新的主​​观评估方法，其基于人双目视觉的特征和立体融合的心理物理学的立体图像压缩质量。具体地，本研究探讨了人类视觉系统对混合压缩立体图像序列的响应，其中一只眼睛视图在空间上和时间被压缩，但深度感知不受影响。该方法利用给定序列的左帧和右帧之间的相关性，这不仅可以帮助实现立体图像传输的某些效率，还可以促进直观的输出评估值的一致性和立体感知的敏感性，这也可以克服由主观评级系统限制的传统主观质量评估方法的缺点表现出良好的可行性和有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号