Resolution-Constrained Quantization With JND-Based Perceptual-Distortion Measures

When the squared error of observable signal parameters is below the just noticeable difference (JND), it is not registered by human perception. We modify commonly used distortion criteria to account for this phenomenon and study the implications for quantizer design and performance. Taking the JND i...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 13; no. 11; pp. 703 - 706
Main Authors Moo Young Kim, Kleijn, W.B.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2006
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Acoustic noise
asymptotic performance
Counters
Criteria
Density measurement
Distortion
Distortion measurement
Frequency
Human
Humans
Image coding
Image processing
Information theory
just noticeable difference (JND)
Masking threshold
outlier
parameters
Perception
Quantization
quantizers
Robustness
Signal processing
Signal to noise ratio
source coding
vector quantization
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Summary:When the squared error of observable signal parameters is below the just noticeable difference (JND), it is not registered by human perception. We modify commonly used distortion criteria to account for this phenomenon and study the implications for quantizer design and performance. Taking the JND into account in the design of the quantizer generally leads to improved performance in terms of mean distortion and the number of outliers. Moreover, the resulting quantizer exhibits better robustness against source mismatch
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:1070-9908
1558-2361
1558-2361
DOI:10.1109/LSP.2006.879454