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Cited by 796

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Signal compression based on models of human perception

Jayant, N., Johnston, J., Safranek, R.·1993·Proceedings of the IEEE

Abstract

The notion of perceptual coding, which is based on the concept of distortion masking by the signal being compressed, is developed. Progress in this field as a result of advances in classical coding theory, modeling of human perception, and digital signal processing, is described. It is proposed that fundamental limits in the science can be expressed by the semiquantitative concepts of perceptual entropy and the perceptual distortion-rate function, and current compression technology is examined in that framework. Problems and future research directions are summarized.>

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Metadata

Authors
Jayant, N., Johnston, J., & Safranek, R.
Venue
Proceedings of the IEEE
Published
1993
Volume
81
Issue
10
Pages
1385-1422
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2144520790
Cited by
796
References
6
FWCI
22.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Signal compression based on models of human perception. https://app.cochat.ai/papers/10.1109/5.241504
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Jayant, N., Johnston, J., & Safranek, R. (1993). Signal compression based on models of human perception. Proceedings of the IEEE. https://doi.org/10.1109/5.241504

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