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