Quantifying perceptual information and entropy

Details Quantifying perceptual information and entropy Quantifying perceptual information and entropy

2005-12-13

2005-12-13

Johns, Andrew W. (Department: 2621)

Image analysis

Image compression or coding

Lossless compression

C382S248000

Reexamination Certificate

active

06975774

ABSTRACT:
A method of quantifying perceptual information and entropy for a data input signal uses an appropriate perceptual model to produce a perceptual response. The perceptual response is then entropy converted to produce the perceptual information and entropy. The entropy conversion may include the application of a transform function, such as a Karhunen-Loeve transform function, to the perceptual response to produce a set of coefficients, which coefficients then have probabilities calculated for them based on coefficient histograms of massive tests. The probabilities are used to calculate the perceptual information and entropy using standard techniques. The perceptual information and entropy may be used in applications for achieving greater accuracy subjective quality determinations for the data input signal.

REFERENCES:
patent: 5717764 (1998-02-01), Johnston et al.
patent: 6198412 (2001-03-01), Goyal
patent: 6246435 (2001-06-01), Patel
patent: 6253185 (2001-06-01), Arean et al.
patent: 6345125 (2002-02-01), Goyal et al.
patent: 6411740 (2002-06-01), Daly
patent: 6795580 (2004-09-01), Janko et al.
patent: 2003/0152284 (2003-08-01), Ferguson
patent: 2004/0037421 (2004-02-01), Truman
Jayant et al., “Signal compression based on models of Human perception”, Oct. 1993, vol. 81, No. 10, pp. 1385-1422.
David Salomon, “data compression”, 1998 Spring-Verlag, ISBN 0-387-95045-1, pp. 64-65.
W. David Gregg, The University of Texas at Austin, “Analog and Digital Communication—Concepts, Systems, Applications, and Services in Electrical Dissemination of Aural, Visual, and Data Information”, p. 518 & 540.

Affiliated with

Also associated with

Rating

Quantifying perceptual information and entropy does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Quantifying perceptual information and entropy, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantifying perceptual information and entropy will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3518073