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Three-dimensional optical reconstruction using two-dimensional optical flow measured on the rotating groove surfaces of gramophone recordings will enhance our ability to preserve this valuable audio legacy without depending on mechanical contact playback. A modified microscope overcame the limitation of a shallow depth of field by using a thin glass plate to obtain an image at a second focal length. Sound is decoded from the orientation of the groove surface. The algorithm has been tested and validated using both damaged and undamaged records. Informal listening tests confirmed a subjective reduction of pops and other degradations.
Author (s): Tian, Baozhong; Barron, John L.
Affiliation:
Department of Computer Science, Leonard C. Nelson College of Engineering and Sciences, Institute of Technology, West Virginia University, Montgomery, WV, USA; Department of Computer Science, The University of Western Ontario, London, Ont., Canada
(See document for exact affiliation information.)
Publication Date:
2011-07-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=15976
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Tian, Baozhong; Barron, John L.; 2011; Using Computer Vision Technology to Play Gramophone Records [PDF]; Department of Computer Science, Leonard C. Nelson College of Engineering and Sciences, Institute of Technology, West Virginia University, Montgomery, WV, USA; Department of Computer Science, The University of Western Ontario, London, Ont., Canada; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=15976
Tian, Baozhong; Barron, John L.; Using Computer Vision Technology to Play Gramophone Records [PDF]; Department of Computer Science, Leonard C. Nelson College of Engineering and Sciences, Institute of Technology, West Virginia University, Montgomery, WV, USA; Department of Computer Science, The University of Western Ontario, London, Ont., Canada; Paper ; 2011 Available: https://aes2.org/publications/elibrary-page/?id=15976