DocumentCode :
3226719
Title :
A Theoretical Analysis of Data Reduction Using the Weber Quantizer
Author :
Kammerl, Julius ; Hinterseer, Peter ; Chaudhuri, Subhasis ; Steinb, Eckehard
Author_Institution :
Tech. Univ. Munchen, Munich
fYear :
2008
fDate :
25-27 March 2008
Firstpage :
524
Lastpage :
524
Abstract :
We present a theoretical analysis of a perceptual coding approach, the so called Weber quantizer. Extensive studies performed by experimental psychologists and physiologists have unveiled one major conclusion: human perception often follows Weber´s law. Ernst Weber was an experimental physiologist who in 1834 first discovered the following implication DeltaI = kl, where DeltaI is the so called difference threshold or the just noticeable difference (JND). It describes the smallest amount of change of an (arbitrary) stimulus I which can be detected just as often as it cannot be detected and defines the Weber bound at [(1 - k)I, (1 + k)I].
Keywords :
data compression; data reduction; encoding; quantisation (signal); Weber quantizer; data reduction; difference threshold; human perception; perceptual coding approach; theoretical analysis; Binary trees; Data analysis; Data communication; Data compression; Gaussian distribution; Haptic interfaces; Humans; Probability; Psychology; Signal analysis; data reduction; data transmission; perceptual coding; quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2008. DCC 2008
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
978-0-7695-3121-2
Type :
conf
DOI :
10.1109/DCC.2008.71
Filename :
4483351
Link To Document :
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