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Proceedings Paper

Intensity JND comes from Poisson neural noise: implications for image coding
Author(s): Jont B. Allen
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Paper Abstract

While problems of image coding and audio coding have frequently been assumed to have similarities, specific sets of relationships have remained vague. One area where there should be a meaningful comparison is with central masking noise estimates, which define the codec's quantizer step size. In the past few years, progress has been made on this problem in the auditory domain (Allen and Neely, J. Acoust. Soc. Am., 102, 1997, 3628-46; Allen, 1999, Wiley Encyclopedia of Electrical and Electronics Engineering, Vol. 17, p. 422-437, Ed. Webster, J.G., John Wiley & Sons, Inc, NY). It is possible that some useful insights might now be obtained by comparing the auditory and visual cases. In the auditory case it has been shown, directly from psychophysical data, that below about 5 sones (a measure of loudness, a unit of psychological intensity), the loudness JND is proportional to the square root of the loudness (Delta) pounds sterling(pounds sterling) varies direct as (root)pounds sterling(I). This is true for both wideband noise and tones, having a frequency of 250 Hz or greater. Allen and Neely interpret this to mean that the internal noise is Poisson, as would be expected from neural point process noise. It follows directly that the Weber fraction (the relative loudness JND), decreases as one over the square root of the loudness, namely (Delta) pounds sterling/pounds sterling varies direct as 1/(root)pounds sterling. Above pounds sterling equals 5 sones, the relative loudness JND (Delta) pounds sterling/pounds sterling approximately equals 0.03 (i.e., Ekman law). It would be very interesting to know if this same relationship holds for the visual case between brightness (Beta) (I) and the brightness JND (Delta) (Beta) (I). This might be tested by measuring both the brightness JND and the brightness as a function of intensity, and transforming the intensity JND into a brightness JND, namely (Delta) (Beta) (I) equals (Beta) (I + (Delta) I) - (Beta) (I) approximately equals (Delta) Id(Beta) /dI. If the Poisson nature of the loudness relation (below 5 sones) is a general result of central neural noise, as is anticipated, then one would expected that it would also hold in vision, namely that (Delta) (Beta) ((Beta) ) varies direct as (root)(Beta) (I). It is well documented that the exponent in the S.S. Stevens' power law is the same for loudness and brightness (Stevens, 1961) (i.e., both brightness (Beta) (I) and loudness pounds sterling(I) are proportional to I0.3). Furthermore, the brightness JND data are more like Riesz's near miss data than recent 2AFC studies of JND measures.

Paper Details

Date Published: 2 June 2000
PDF: 12 pages
Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); doi: 10.1117/12.387159
Show Author Affiliations
Jont B. Allen, AT&T Labs. (United States)

Published in SPIE Proceedings Vol. 3959:
Human Vision and Electronic Imaging V
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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