论文标题

保存Sonorine:使用图像处理和计算机视觉技术的光视音频恢复

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

论文作者

Feng, Kevin

论文摘要

本文提出了一种新型技术,可以从Sonorines中恢复音频,这是20世纪初的模拟声音存储的形式。我们的方法在不同的照明条件下使用高分辨率的Sonorines照片来观察物理表面特征的反射行为的变化,并创建表面的三维高度图。然后,可以使用表面凹槽内的高度信息来提取声音,从而模仿留声机上的物理手写笔。与传统的播放方法不同,我们的方法具有无接触式的优势:培养基不会遭受损害和磨损。我们将技术的结果与使用Sonorines的平板扫描进行了以前成功的非接触式方法进行比较,并结论未来的研究可以应用于这种光视方法进行音频恢复。

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.

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