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

TL;DR
This paper introduces a contactless, image-based method to recover audio from early 20th century sonorines by creating 3D surface maps from photographs, avoiding physical wear and enabling non-invasive playback.
Contribution
It presents a novel photovisual technique that uses image processing and computer vision to extract audio from sonorines without physical contact, improving preservation and playback safety.
Findings
Successfully recovered audio from sonorines using the proposed method
Achieved comparable results to existing contactless playback techniques
Demonstrated the potential for non-invasive audio recovery from historical media
Abstract
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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Taxonomy
TopicsAdvanced Vision and Imaging · Image Enhancement Techniques · Computer Graphics and Visualization Techniques
