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. doi:10.1109/TIT.1982.1056576

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Abstract

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
ISSN:	0018-9448
Official Date:	1982
Dates:	Date Event 1982 Published
Volume:	Volume 28
Number:	Number 6
Page Range:	pp. 967-971
DOI:	10.1109/TIT.1982.1056576
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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