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实时幽灵成像算法在多维向量矩阵上的沃尔什转换与时空自由fps.

Shengqi Feng, Aijun Sang, Xiaoni Li

    Applied optics
    |January 16, 2024
    PubMed
    概括

    这项研究引入了一种用于实时幽灵成像的新算法,使可调节的率和移动物体的增强视频质量成为可能. 该方法克服了DMD刷新率的限制,提高了视觉舒适性和光滑性.

    科学领域:

    • 计算机成像成像技术
    • 数字信号处理是数字信号处理.
    • 光学和光子学 在光学和光子学.

    背景情况:

    • 实时幽灵成像面临着固定率和不均速的挑战,特别是对于移动的物体.
    • 现有的方法受到显示器更新速率的限制,影响视频流性和用户舒适性.
    • 改善空间信息和时间动态对于舒适,高质量的幽灵成像至关重要.

    研究的目的:

    • 开发一个实时时空算法用于幽灵成像,可调节的率和质量.
    • 解决固定速率和DMD刷新速率在移动物体幽灵成像中的局限性.
    • 为了增强幽灵成像视频的视觉舒适性和光滑性.

    主要方法:

    • 利用多维向量矩阵沃尔什转换用于图像重建.
    • 采用时间和空间的相关性,以免费和可调节的视频率.
    • 应用空间插值来增强图像的细节性和光滑性.
    • 开发了适应性无参数评估算法 (APEA和APVCEA),用于客观和主观的视频质量评估.

    主要成果:

    • 实现了独立于DMD刷新率的可调节率.
    • 演示了改进的幽灵成像视频流性和视觉舒适度.
    • 客观上增加了12%的峰值信号噪声比 (PSNR).

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  • 主观地提高了13%的结构保留,并减少了70%的Brisque.
  • 与传统方法相比,主观视频舒适度提高了14%.

    • 结论:

    • 拟议的算法有效地克服了实时幽灵成像中的DMD刷新率限制.
    • 该方法显著提高了幽灵成像视频质量,流性和用户舒适度.
    • 开发的评估算法为图像和视频质量评估提供了可靠的措施.