Abstract
An algorithm for resolving gray level images beyond the limits imposed by stationary transducers is presented. Basically, the procedure consists of recording the transducer states, allowing the transducer grid to shift its position, and then applying minimum and maximum operators to refine the image mapping based on the new set of transducer states. The procedure is formally characterized by three theorems. Results of a computer model that simulates the algorithm on visual data are included.
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© 1978 The World Organisation of General Systems and Cybernetics
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Magee, M.J. (1978). Using Transducer Tremor to Refine Gray Level Images. In: Rose, J. (eds) Current Topics in Cybernetics and Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93104-8_26
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DOI: https://doi.org/10.1007/978-3-642-93104-8_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-93106-2
Online ISBN: 978-3-642-93104-8
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