The acceptance of information, its subjective cost and the measurement of distortion
Wilson, Roland, 1949-. (1982) The acceptance of information, its subjective cost and the measurement of distortion. IEEE Transactions on Information Theory, 28 (6). pp. 967-971. ISSN 0018-9448Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/TIT.1982.1056576
A suitable operational definition of the subjective acceptability of an information source to a human user is shown to be the "probability of acceptance in a multiple-choice test." It is shown that acceptance probability relates directly to the user's statistical dependence on a given source. The notion of subjective cost of information is introduced as a concise way of defining such acceptance probabilities and a general statistical model of decision behavior used to establish the relation between expected cost and probability of acceptance. Distortion is then defined as the marginal cost of accepting a replication over that of the original source. It is shown that this leads to a way of determining distortion functions from observation of acceptance decisions. The method is illustrated with an example of image noise evaluation.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Divisions:||Faculty of Science > Computer Science|
|Journal or Publication Title:||IEEE Transactions on Information Theory|
|Publisher:||Institute of Electrical and Electronics Engineers|
|Page Range:||pp. 967-971|
|Access rights to Published version:||Restricted or Subscription Access|
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