A PCA-FVQ and 3D-SPECK combined hierarchical coding method for spectral imagery

In this paper, a hierarchical spectral imagery coding method has been proposed. The spectral imagery is encoded into two layers, i.e. base layer and enhancement layer. Firstly, an PCA-FVQ (Principal Component Analysis based Fast Vector Quantization) coding method has been proposed to generate the ba...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2012 IEEE 11th International Conference on Signal Processing Ročník 2; s. 1038 - 1042
Hlavní autoři: Yue, Yunfeng, Zhuo, Li, Wang, Suyu, Zhao, Yingdi, Shi, Chen
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2012
Témata:
3D-SPECK
Binary sequences
Correlation
Encoding
Image coding
Image quality
Image reconstruction
Indexes
Principal component analysis
Signal to noise ratio
spectral imagery
Vector quantization
ISBN:9781467321969, 1467321966
ISSN:2164-5221
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract In this paper, a hierarchical spectral imagery coding method has been proposed. The spectral imagery is encoded into two layers, i.e. base layer and enhancement layer. Firstly, an PCA-FVQ (Principal Component Analysis based Fast Vector Quantization) coding method has been proposed to generate the base layer bitstream, which can be decoded independently to provide a basic image quality. Then the differential data between the original image and the reconstructed image decoded from the base layer bitstream is encoded by 3D-SPECK algorithm to generate the enhancement layer bitstream which can provide an enhanced image quality. The experimental results show that, under the same coding conditions, compared with 3D-SPECK algorithm, the proposed method has achieved 1-15dB higher image quality improvement in terms of SNR (Signal to Noise) while the compression ratio can be controlled precisely.
AbstractList In this paper, a hierarchical spectral imagery coding method has been proposed. The spectral imagery is encoded into two layers, i.e. base layer and enhancement layer. Firstly, an PCA-FVQ (Principal Component Analysis based Fast Vector Quantization) coding method has been proposed to generate the base layer bitstream, which can be decoded independently to provide a basic image quality. Then the differential data between the original image and the reconstructed image decoded from the base layer bitstream is encoded by 3D-SPECK algorithm to generate the enhancement layer bitstream which can provide an enhanced image quality. The experimental results show that, under the same coding conditions, compared with 3D-SPECK algorithm, the proposed method has achieved 1-15dB higher image quality improvement in terms of SNR (Signal to Noise) while the compression ratio can be controlled precisely.
Author Zhuo, Li
Wang, Suyu
Zhao, Yingdi
Shi, Chen
Yue, Yunfeng
Author_xml – sequence: 1
  givenname: Yunfeng
  surname: Yue
  fullname: Yue, Yunfeng
  email: yywhhyyfyh@emails.bjut.edu.cn
  organization: Signal and Information Processing Laboratory, Beijing University of Technology, China
– sequence: 2
  givenname: Li
  surname: Zhuo
  fullname: Zhuo, Li
  organization: Signal and Information Processing Laboratory, Beijing University of Technology, China
– sequence: 3
  givenname: Suyu
  surname: Wang
  fullname: Wang, Suyu
  organization: Signal and Information Processing Laboratory, Beijing University of Technology, China
– sequence: 4
  givenname: Yingdi
  surname: Zhao
  fullname: Zhao, Yingdi
  organization: Signal and Information Processing Laboratory, Beijing University of Technology, China
– sequence: 5
  givenname: Chen
  surname: Shi
  fullname: Shi, Chen
  organization: Signal and Information Processing Laboratory, Beijing University of Technology, China
BookMark eNo1UFFPwjAYrBETAfkD-tI_sNl-7bp-j8sEJZKAQX0lZW2hhm2k2wv_3iXi0-XukrvLTcioaRtHyCNnKecMn5dlu92kwDikSiLPM3VDJlyqXADHXN6SGeb6nysckTFwJZMMgN-TWdf9MMYE11oJNSbrgm7KIll8f1DTWCpeku1mXr7Tqq33oXGWHoOLJlbHUJnToNrQHGjt-mNrqW8j7c6u6uNghdocXLw8kDtvTp2bXXFKvhbzz_ItWa1fl2WxSsIwuE8EAqJDCcprXWVsL6QT1iKXIDzTkElr9zlirrSX4DNrMqOUASkUB_RCTMnTX25wzu3OcaiPl931D_EL4I1Q5Q
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICoSP.2012.6491756
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 1467321974
9781467321952
1467321958
9781467321976
EndPage 1042
ExternalDocumentID 6491756
Genre orig-research
GroupedDBID 6IE
6IF
6IH
6IK
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IPLJI
OCL
RIE
RIL
ID FETCH-LOGICAL-i175t-39299e9426f88c50b34e3dd91423f08254ddb799768f42f5da5a66a2436129f33
IEDL.DBID RIE
ISBN 9781467321969
1467321966
ISICitedReferencesCount 1
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000349102800235&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2164-5221
IngestDate Wed Sep 03 07:09:23 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-39299e9426f88c50b34e3dd91423f08254ddb799768f42f5da5a66a2436129f33
PageCount 5
ParticipantIDs ieee_primary_6491756
PublicationCentury 2000
PublicationDate 2012-Oct.
PublicationDateYYYYMMDD 2012-10-01
PublicationDate_xml – month: 10
  year: 2012
  text: 2012-Oct.
PublicationDecade 2010
PublicationTitle 2012 IEEE 11th International Conference on Signal Processing
PublicationTitleAbbrev ICoSP
PublicationYear 2012
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003188636
ssj0001106982
Score 1.4981515
Snippet In this paper, a hierarchical spectral imagery coding method has been proposed. The spectral imagery is encoded into two layers, i.e. base layer and...
SourceID ieee
SourceType Publisher
StartPage 1038
SubjectTerms 3D-SPECK
Binary sequences
Correlation
Encoding
Image coding
Image quality
Image reconstruction
Indexes
Principal component analysis
Signal to noise ratio
spectral imagery
Vector quantization
Title A PCA-FVQ and 3D-SPECK combined hierarchical coding method for spectral imagery
URI https://ieeexplore.ieee.org/document/6491756
Volume 2
WOSCitedRecordID wos000349102800235&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LTwIxEG6AeNCLDzC-04NHC-y2226PZIVoTHANariR0kfCwcUgmPjvnXYX0MSLt22b7DbTbma-dr75ELqWGjByKgXRisaEJdoRKVREKJeMMxvFdqqC2IQYDtPxWOY1dLPhwlhrQ_KZbfvHcJdv5nrlj8o6nAG4SHgd1YXgJVdre54C2EZWdVp8G_ZqyoNCYAyIAPBWHAVeFxcUflLO1-WeqrZcE2q6snOfzUe5z_qK29UXf0mvBM8z2P_fnA9Qa0vhw_nGOR2imi2O0N6P6oNN9NjDedYjg9cnrAqD6S0Z5f3sAcMeBLhsDfYy2eGiAdYRev2LcKk4jSHUxYGkuYCh2ZsvhPHVQi-D_nN2Ryp9BTKDKS2JD42kleCjXZrqpDulzFJjZAQhlgvQ0ZipkBCwpI7FLjEqUZyrmFEIi6Sj9Bg1inlhTxA2LO5am1JlnGLUUWVdpKTWopsopqfiFDW9aSbvZQmNSWWVs7-7z9Gut36ZM3eBGsvFyl6iHf25nH0srsK6fwP5H6Ql
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LTwIxEG4QTdSLDzS-7cGjBXbb7W6PBCEQENeAhhspfSQcXAyCif_eaVlAEy_etm2y23RmM_O1_eZD6E4owMiJiImSNCQsUpaIWAaEcsE4M0FoxtKLTcS9XjIcirSA7tdcGGOMv3xmyu7Rn-XrqVq4rbIKZwAuIr6FtiPGwuqSrbXZUQF0I_JKLa4N3ppwrxEYAiYAxBUGntnFYwq_Keergk95W6woNVVRaden_dTd-wrL-Td_ia_42NM8-N-sD9HJhsSH03V4OkIFkx2j_R_1B0voqYbTeo00X5-xzDSmD6SfNuodDF4IgNlo7ISy_VEDWBJ63YvwUnMaQ7KLPU1zBkOTN1cK4-sEvTQbg3qL5AoLZAJTmhOXHAkjIErbJFFRdUyZoVqLAJIs68Gj1uNYQMqSWBbaSMtIci5DRiExEpbSU1TMppk5Q1iDQYxJqNRWMmqpNDaQQqm4GkmmxvE5KrmlGb0vi2iM8lW5-Lv7Fu22Bo_dUbfd61yiPWeJ5Q26K1SczxbmGu2oz_nkY3bjfeAbvFynbA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2012+IEEE+11th+International+Conference+on+Signal+Processing&rft.atitle=A+PCA-FVQ+and+3D-SPECK+combined+hierarchical+coding+method+for+spectral+imagery&rft.au=Yue%2C+Yunfeng&rft.au=Zhuo%2C+Li&rft.au=Wang%2C+Suyu&rft.au=Zhao%2C+Yingdi&rft.date=2012-10-01&rft.pub=IEEE&rft.isbn=9781467321969&rft.issn=2164-5221&rft.volume=2&rft.spage=1038&rft.epage=1042&rft_id=info:doi/10.1109%2FICoSP.2012.6491756&rft.externalDocID=6491756
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2164-5221&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2164-5221&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2164-5221&client=summon