Academic Journal

Hierarchical quantization indexing for wavelet and wavelet packet image coding

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Hierarchical quantization indexing for wavelet and wavelet packet image coding
Συγγραφείς: Ateş, Hasan Fehmi, Tamer, Engin
Στοιχεία εκδότη: Elsevier Science BV
Έτος έκδοσης: 2010
Συλλογή: Işık Üniversitesi: DSpace Repository
Θεματικοί όροι: Image coding, Wavelets, Wavelet packets, Classification, Hierarchy, Space-frequency quantization, Algorithm, Set, Cost accounting, Feature extraction, Visual communication, Adaptive arithmetic coding, Class assignments, Coding efficiency, Cost analysis, Hierarchical classification, Membership information, Quantization index, Rate distortions, Wavelet packet coefficient, Wavelet subbands
Περιγραφή: This research was supported by Isik University BAP-05B302 Grant ; In this paper, we introduce the quantization index hierarchy, which is used for efficient coding of quantized wavelet and wavelet packet coefficients. A hierarchical classification map is defined in each wavelet subband, which describes the quantized data through a series of index classes. Going from bottom to the top of the tree, neighboring coefficients are combined to form classes that represent some statistics of the quantization indices of these coefficients. Higher levels of the tree are constructed iteratively by repeating this class assignment to partition the coefficients into larger Subsets. The class assignments are optimized using a rate-distortion cost analysis. The optimized tree is coded hierarchically from top to bottom by coding the class membership information at each level of the tree. Context-adaptive arithmetic coding is used to improve coding efficiency. The developed algorithm produces PSNR results that are better than the state-of-art wavelet-based and wavelet packet-based coders in literature. ; Isik University ; Publisher's Version
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
ISBN: 978-0-00-275582-5
0-00-275582-3
Relation: Signal Processing: Image Communication; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11729/381; http://dx.doi.org/10.1016/j.image.2009.09.007; 25; 111; 120; Q2; WOS:000275582300004; Q1
DOI: 10.1016/j.image.2009.09.007
Διαθεσιμότητα: https://hdl.handle.net/11729/381
https://doi.org/10.1016/j.image.2009.09.007
Rights: info:eu-repo/semantics/closedAccess
Αριθμός Καταχώρησης: edsbas.BF067273
Βάση Δεδομένων: BASE
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  – Url: https://hdl.handle.net/11729/381#
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IllustrationInfo
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  Label: Title
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  Data: Hierarchical quantization indexing for wavelet and wavelet packet image coding
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  Data: <searchLink fieldCode="AR" term="%22Ateş%2C+Hasan+Fehmi%22">Ateş, Hasan Fehmi</searchLink><br /><searchLink fieldCode="AR" term="%22Tamer%2C+Engin%22">Tamer, Engin</searchLink>
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  Data: Elsevier Science BV
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  Data: 2010
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  Data: Işık Üniversitesi: DSpace Repository
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  Data: <searchLink fieldCode="DE" term="%22Image+coding%22">Image coding</searchLink><br /><searchLink fieldCode="DE" term="%22Wavelets%22">Wavelets</searchLink><br /><searchLink fieldCode="DE" term="%22Wavelet+packets%22">Wavelet packets</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Hierarchy%22">Hierarchy</searchLink><br /><searchLink fieldCode="DE" term="%22Space-frequency+quantization%22">Space-frequency quantization</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithm%22">Algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Set%22">Set</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+accounting%22">Cost accounting</searchLink><br /><searchLink fieldCode="DE" term="%22Feature+extraction%22">Feature extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+communication%22">Visual communication</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+arithmetic+coding%22">Adaptive arithmetic coding</searchLink><br /><searchLink fieldCode="DE" term="%22Class+assignments%22">Class assignments</searchLink><br /><searchLink fieldCode="DE" term="%22Coding+efficiency%22">Coding efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+analysis%22">Cost analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Hierarchical+classification%22">Hierarchical classification</searchLink><br /><searchLink fieldCode="DE" term="%22Membership+information%22">Membership information</searchLink><br /><searchLink fieldCode="DE" term="%22Quantization+index%22">Quantization index</searchLink><br /><searchLink fieldCode="DE" term="%22Rate+distortions%22">Rate distortions</searchLink><br /><searchLink fieldCode="DE" term="%22Wavelet+packet+coefficient%22">Wavelet packet coefficient</searchLink><br /><searchLink fieldCode="DE" term="%22Wavelet+subbands%22">Wavelet subbands</searchLink>
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  Data: This research was supported by Isik University BAP-05B302 Grant ; In this paper, we introduce the quantization index hierarchy, which is used for efficient coding of quantized wavelet and wavelet packet coefficients. A hierarchical classification map is defined in each wavelet subband, which describes the quantized data through a series of index classes. Going from bottom to the top of the tree, neighboring coefficients are combined to form classes that represent some statistics of the quantization indices of these coefficients. Higher levels of the tree are constructed iteratively by repeating this class assignment to partition the coefficients into larger Subsets. The class assignments are optimized using a rate-distortion cost analysis. The optimized tree is coded hierarchically from top to bottom by coding the class membership information at each level of the tree. Context-adaptive arithmetic coding is used to improve coding efficiency. The developed algorithm produces PSNR results that are better than the state-of-art wavelet-based and wavelet packet-based coders in literature. ; Isik University ; Publisher's Version
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  Data: Signal Processing: Image Communication; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11729/381; http://dx.doi.org/10.1016/j.image.2009.09.007; 25; 111; 120; Q2; WOS:000275582300004; Q1
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  Data: 10.1016/j.image.2009.09.007
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  Data: https://hdl.handle.net/11729/381<br />https://doi.org/10.1016/j.image.2009.09.007
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  Data: edsbas.BF067273
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        Value: 10.1016/j.image.2009.09.007
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      – Text: English
    Subjects:
      – SubjectFull: Image coding
        Type: general
      – SubjectFull: Wavelets
        Type: general
      – SubjectFull: Wavelet packets
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      – SubjectFull: Classification
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      – SubjectFull: Hierarchy
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      – SubjectFull: Space-frequency quantization
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      – SubjectFull: Feature extraction
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      – SubjectFull: Visual communication
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      – SubjectFull: Adaptive arithmetic coding
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      – SubjectFull: Cost analysis
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      – SubjectFull: Quantization index
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      – SubjectFull: Rate distortions
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      – SubjectFull: Wavelet packet coefficient
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      – SubjectFull: Wavelet subbands
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      – TitleFull: Hierarchical quantization indexing for wavelet and wavelet packet image coding
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