Academic Journal
Hierarchical quantization indexing for wavelet and wavelet packet image coding
| 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 |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://hdl.handle.net/11729/381# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: Hierarchical quantization indexing for wavelet and wavelet packet image coding – Name: Author Label: Authors Group: Au 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> – Name: Publisher Label: Publisher Information Group: PubInfo Data: Elsevier Science BV – Name: DatePubCY Label: Publication Year Group: Date Data: 2010 – Name: Subset Label: Collection Group: HoldingsInfo Data: Işık Üniversitesi: DSpace Repository – Name: Subject Label: Subject Terms Group: Su 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> – Name: Abstract Label: Description Group: Ab 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 – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: ISBN Label: ISBN Group: ISBN Data: 978-0-00-275582-5<br />0-00-275582-3 – Name: NoteTitleSource Label: Relation Group: SrcInfo 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 – Name: DOI Label: DOI Group: ID Data: 10.1016/j.image.2009.09.007 – Name: URL Label: Availability Group: URL Data: https://hdl.handle.net/11729/381<br />https://doi.org/10.1016/j.image.2009.09.007 – Name: Copyright Label: Rights Group: Cpyrght Data: info:eu-repo/semantics/closedAccess – Name: AN Label: Accession Number Group: ID Data: edsbas.BF067273 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.image.2009.09.007 Languages: – Text: English Subjects: – SubjectFull: Image coding Type: general – SubjectFull: Wavelets Type: general – SubjectFull: Wavelet packets Type: general – SubjectFull: Classification Type: general – SubjectFull: Hierarchy Type: general – SubjectFull: Space-frequency quantization Type: general – SubjectFull: Algorithm Type: general – SubjectFull: Set Type: general – SubjectFull: Cost accounting Type: general – SubjectFull: Feature extraction Type: general – SubjectFull: Visual communication Type: general – SubjectFull: Adaptive arithmetic coding Type: general – SubjectFull: Class assignments Type: general – SubjectFull: Coding efficiency Type: general – SubjectFull: Cost analysis Type: general – SubjectFull: Hierarchical classification Type: general – SubjectFull: Membership information Type: general – SubjectFull: Quantization index Type: general – SubjectFull: Rate distortions Type: general – SubjectFull: Wavelet packet coefficient Type: general – SubjectFull: Wavelet subbands Type: general Titles: – TitleFull: Hierarchical quantization indexing for wavelet and wavelet packet image coding Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ateş, Hasan Fehmi – PersonEntity: Name: NameFull: Tamer, Engin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2010 Identifiers: – Type: isbn-print Value: 9780002755825 – Type: isbn-print Value: 0002755823 – Type: issn-locals Value: edsbas |
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