arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.08944cs.SDcs.CVcs.GReess.AS
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拯救Sonorine:使用图像处理和计算机视觉技术的光视频音频恢复

Saving the Sonorine: Photovisual Audio Recovery Using Image Processing and Computer Vision Techniques

Kevin Feng

摘要:

本文提出了一种新的技术,以恢复从sonorines,20世纪初的模拟声音存储形式的音频。我们的方法使用高分辨率的照片sonorines在不同的照明条件下观察的物理表面特征的反射行为的变化,并创建一个三维的表面高度图。然后可以利用表面凹槽内的高度信息提取声音,模仿留声机上的物理触针。与传统的播放方法不同,我们的方法具有非接触式的优点:媒体不会因重复播放而损坏和磨损。我们比较我们的技术的结果,以前成功的非接触式方法,使用平板扫描的sonorines,并得出结论,未来的研究,可以应用到这个photovisual方法音频恢复。

英文摘要:

This paper presents a novel technique to recover audio from sonorines, an early 20th century form of analogue sound storage. Our method uses high resolution photographs of sonorines under different lighting conditions to observe the change in reflection behavior of the physical surface features and create a three-dimensional height map of the surface. Sound can then be extracted using height information within the surface's grooves, mimicking a physical stylus on a phonograph. Unlike traditional playback methods, our method has the advantage of being contactless: the medium will not incur damage and wear from being played repeatedly. We compare the results of our technique to a previously successful contactless method using flatbed scans of the sonorines, and conclude with future research that can be applied to this photovisual approach to audio recovery.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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