The acceptance of information, its subjective cost and the measurement of distortion
Wilson, Roland. (1982) The acceptance of information, its subjective cost and the measurement of distortion. IEEE Transactions on Information Theory, Volume 28 (Number 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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