Selective Error Detection for Error-Resilient Wavelet-Based Image Coding
This paper introduces the concept of a similarity check function for error-resilient multimedia data transmission. The proposed similarity check function provides information about the effects of corrupted data on the quality of the reconstructed image. The degree of data corruption is measured by t...
Saved in:
| Published in: | IEEE transactions on image processing Vol. 16; no. 12; pp. 2936 - 2942 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York, NY
IEEE
01.12.2007
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 1057-7149, 1941-0042 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | This paper introduces the concept of a similarity check function for error-resilient multimedia data transmission. The proposed similarity check function provides information about the effects of corrupted data on the quality of the reconstructed image. The degree of data corruption is measured by the similarity check function at the receiver, without explicit knowledge of the original source data. The design of a perceptual similarity check function is presented for wavelet-based coders such as the JPEG2000 standard, and used with a proposed ldquoprogressive similarity-based ARQrdquo (ProS-ARQ) scheme to significantly decrease the retransmission rate of corrupted data while maintaining very good visual quality of images transmitted over noisy channels. Simulation results with JPEG2000-coded images transmitted over the binary symmetric channel, show that the proposed ProS-ARQ scheme significantly reduces the number of retransmissions as compared to conventional ARQ-based schemes. The presented results also show that, for the same number of retransmitted data packets, the proposed ProS-ARQ scheme can achieve significantly higher PSNR and better visual quality as compared to the selective-repeat ARQ scheme. |
|---|---|
| AbstractList | This paper introduces the concept of a similarity check function for error-resilient multimedia data transmission. The proposed similarity check function provides information about the effects of corrupted data on the quality of the reconstructed image. The degree of data corruption is measured by the similarity check function at the receiver, without explicit knowledge of the original source data. The design of a perceptual similarity check function is presented for wavelet-based coders such as the JPEG2000 standard, and used with a proposed "progressive similarity-based ARQ" (ProS-ARQ) scheme to significantly decrease the retransmission rate of corrupted data while maintaining very good visual quality of images transmitted over noisy channels. Simulation results with JPEG2000-coded images transmitted over the binary symmetric channel, show that the proposed ProS-ARQ scheme significantly reduces the number of retransmissions as compared to conventional ARQ-based schemes. The presented results also show that, for the same number of retransmitted data packets, the proposed ProS-ARQ scheme can achieve significantly higher PSNR and better visual quality as compared to the selective-repeat ARQ scheme. This paper introduces the concept of a similarity check function for error-resilient multimedia data transmission. The proposed similarity check function provides information about the effects of corrupted data on the quality of the reconstructed image. The degree of data corruption is measured by the similarity check function at the receiver, without explicit knowledge of the original source data. The design of a perceptual similarity check function is presented for wavelet-based coders such as the JPEG2000 standard, and used with a proposed "progressive similarity-based ARQ" (ProS-ARQ) scheme to significantly decrease the retransmission rate of corrupted data while maintaining very good visual quality of images transmitted over noisy channels. Simulation results with JPEG2000-coded images transmitted over the Binary Symmetric Channel, show that the proposed ProS-ARQ scheme significantly reduces the number of retransmissions as compared to conventional ARQ-based schemes. The presented results also show that, for the same number of retransmitted data packets, the proposed ProS-ARQ scheme can achieve significantly higher PSNR and better visual quality as compared to the selective-repeat ARQ scheme.This paper introduces the concept of a similarity check function for error-resilient multimedia data transmission. The proposed similarity check function provides information about the effects of corrupted data on the quality of the reconstructed image. The degree of data corruption is measured by the similarity check function at the receiver, without explicit knowledge of the original source data. The design of a perceptual similarity check function is presented for wavelet-based coders such as the JPEG2000 standard, and used with a proposed "progressive similarity-based ARQ" (ProS-ARQ) scheme to significantly decrease the retransmission rate of corrupted data while maintaining very good visual quality of images transmitted over noisy channels. Simulation results with JPEG2000-coded images transmitted over the Binary Symmetric Channel, show that the proposed ProS-ARQ scheme significantly reduces the number of retransmissions as compared to conventional ARQ-based schemes. The presented results also show that, for the same number of retransmitted data packets, the proposed ProS-ARQ scheme can achieve significantly higher PSNR and better visual quality as compared to the selective-repeat ARQ scheme. The design of a perceptual similarity check function is presented for wavelet-based coders such as the JPEG2000 standard, and used with a proposed ldquoprogressive similarity-based ARQrdquo (ProS-ARQ) scheme to significantly decrease the retransmission rate of corrupted data while maintaining very good visual quality of images transmitted over noisy channels. This paper introduces the concept of a similarity check function for error-resilient multimedia data transmission. The proposed similarity check function provides information about the effects of corrupted data on the quality of the reconstructed image. The degree of data corruption is measured by the similarity check function at the receiver, without explicit knowledge of the original source data. The design of a perceptual similarity check function is presented for wavelet-based coders such as the JPEG2000 standard, and used with a proposed ldquoprogressive similarity-based ARQrdquo (ProS-ARQ) scheme to significantly decrease the retransmission rate of corrupted data while maintaining very good visual quality of images transmitted over noisy channels. Simulation results with JPEG2000-coded images transmitted over the binary symmetric channel, show that the proposed ProS-ARQ scheme significantly reduces the number of retransmissions as compared to conventional ARQ-based schemes. The presented results also show that, for the same number of retransmitted data packets, the proposed ProS-ARQ scheme can achieve significantly higher PSNR and better visual quality as compared to the selective-repeat ARQ scheme. |
| Author | Karam, L.J. Tuyet-Trang Lam |
| Author_xml | – sequence: 1 givenname: L.J. surname: Karam fullname: Karam, L.J. organization: Arizona State Univ., Tempe – sequence: 2 surname: Tuyet-Trang Lam fullname: Tuyet-Trang Lam organization: Arizona State Univ., Tempe |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19872757$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/18092593$$D View this record in MEDLINE/PubMed |
| BookMark | eNp90ttrFDEUB-AgFXvRZx8EGQQvL7PNyT2PulZbKCha8TFkMiclZXamTWYL_vdm3bVCwT7lwncOJOd3SPbGaURCngNdAFB7fHH2dcEo1QtLLWfwiByAFdBSKthe3VOpWw3C7pPDUq4oBSFBPSH7YKhl0vIDcvodBwxzusXmJOcpNx9x3pynsYn19Oeu_YYlDQnHufnpb6uf2w--YN-crfwlNsupT-PlU_I4-qHgs916RH58OrlYnrbnXz6fLd-ft0FwPbcdUx1S2vFoY9SBoZISYww955Z1RnaGK9FL6iFiFNJ3LHAP0EcDgurY8yPydtv3Ok83ayyzW6UScBj8iNO6OGMVGKUkq_LNg1JZqjloVeG7ByEoDVwIpWmlr-7Rq2mdx_pgZ5Sw1hpqKnq5Q-tuhb27zmnl8y_399creL0DvgQ_xOzHkMo_Z41mWurq5NaFPJWSMbqQZr8Zzpx9GhxQt0mBqylwmxS4bQpq3fG9urvW_614sa1IiHin68QEMMF_AxUuuaw |
| CODEN | IIPRE4 |
| CitedBy_id | crossref_primary_10_1016_j_mejo_2010_01_015 crossref_primary_10_1109_TCSVT_2021_3113572 crossref_primary_10_1007_s11760_011_0220_1 |
| Cites_doi | 10.1109/83.718485 10.1109/TCE.2003.1261168 10.1109/97.596882 10.1109/TIP.2005.846028 10.1007/978-1-4615-0799-4 10.1109/97.1001646 10.1109/83.605413 10.1109/TCE.2003.1261166 10.1109/TIP.2006.873460 10.1109/83.753747 10.1109/TIP.2005.851681 |
| ContentType | Journal Article |
| Copyright | 2008 INIST-CNRS Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2007 |
| Copyright_xml | – notice: 2008 INIST-CNRS – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2007 |
| DBID | 97E RIA RIE AAYXX CITATION IQODW CGR CUY CVF ECM EIF NPM 7SC 7SP 8FD JQ2 L7M L~C L~D F28 FR3 7X8 |
| DOI | 10.1109/TIP.2007.909321 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Pascal-Francis Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ANTE: Abstracts in New Technology & Engineering Engineering Research Database MEDLINE - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional Engineering Research Database ANTE: Abstracts in New Technology & Engineering MEDLINE - Academic |
| DatabaseTitleList | Technology Research Database MEDLINE - Academic Technology Research Database MEDLINE Technology Research Database |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Applied Sciences Engineering |
| EISSN | 1941-0042 |
| EndPage | 2942 |
| ExternalDocumentID | 2338978671 18092593 19872757 10_1109_TIP_2007_909321 4374124 |
| Genre | orig-research Journal Article |
| GroupedDBID | --- -~X .DC 0R~ 29I 4.4 53G 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABFSI ABQJQ ABVLG ACGFO ACGFS ACIWK AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 E.L EBS EJD F5P HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI M43 MS~ O9- OCL P2P RIA RIE RNS TAE TN5 VH1 AAYXX CITATION IQODW RIG AAYOK CGR CUY CVF ECM EIF NPM PKN Z5M 7SC 7SP 8FD JQ2 L7M L~C L~D F28 FR3 7X8 |
| ID | FETCH-LOGICAL-c437t-b26be00b3f9ff7c2e655effcd3392b85b8364d50a1fef45ab2c3a11df81407fd3 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 3 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000251295700007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1057-7149 |
| IngestDate | Sun Sep 28 05:49:13 EDT 2025 Sat Sep 27 23:52:06 EDT 2025 Sun Sep 28 00:44:18 EDT 2025 Mon Jun 30 10:25:01 EDT 2025 Wed Feb 19 01:48:24 EST 2025 Mon Jul 21 09:13:46 EDT 2025 Tue Nov 18 22:21:56 EST 2025 Sat Nov 29 03:20:40 EST 2025 Tue Aug 26 16:46:32 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 12 |
| Keywords | data retransmission Binary channel Similarity Image processing Data transmission Image compression Multimedia communication perception Image quality Binary symmetric channel Image coding Simulation Wavelet transformation Noisy channel Signal processing Error detection Error correction Image transmission Automatic repeat request Signal to noise ratio |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html CC BY 4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c437t-b26be00b3f9ff7c2e655effcd3392b85b8364d50a1fef45ab2c3a11df81407fd3 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| PMID | 18092593 |
| PQID | 864999808 |
| PQPubID | 23500 |
| PageCount | 7 |
| ParticipantIDs | pubmed_primary_18092593 crossref_citationtrail_10_1109_TIP_2007_909321 pascalfrancis_primary_19872757 proquest_miscellaneous_1671344670 proquest_journals_864999808 proquest_miscellaneous_896186652 ieee_primary_4374124 crossref_primary_10_1109_TIP_2007_909321 proquest_miscellaneous_69073176 |
| PublicationCentury | 2000 |
| PublicationDate | 2007-12-01 |
| PublicationDateYYYYMMDD | 2007-12-01 |
| PublicationDate_xml | – month: 12 year: 2007 text: 2007-12-01 day: 01 |
| PublicationDecade | 2000 |
| PublicationPlace | New York, NY |
| PublicationPlace_xml | – name: New York, NY – name: United States – name: New York |
| PublicationTitle | IEEE transactions on image processing |
| PublicationTitleAbbrev | TIP |
| PublicationTitleAlternate | IEEE Trans Image Process |
| PublicationYear | 2007 |
| Publisher | IEEE Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: Institute of Electrical and Electronics Engineers – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref13 ref12 ref14 mackay (ref8) 2003 ref11 ref10 (ref15) 2000 ref2 ref7 ref4 lam (ref9) 2005 ref3 ref6 ref5 wicker (ref1) 1995 |
| References_xml | – ident: ref11 doi: 10.1109/83.718485 – ident: ref6 doi: 10.1109/TCE.2003.1261168 – ident: ref2 doi: 10.1109/97.596882 – ident: ref7 doi: 10.1109/TIP.2005.846028 – start-page: ii:309 year: 2005 ident: ref9 article-title: reduced-delay selective arq for low bit-rate image and multimedia data transmission publication-title: Proc IEEE ICASSP – year: 2003 ident: ref8 publication-title: Information Theory Inference and Learning Algorithms – ident: ref12 doi: 10.1007/978-1-4615-0799-4 – year: 1995 ident: ref1 publication-title: Error Control Systems for Digital Communication and Storage – ident: ref3 doi: 10.1109/97.1001646 – ident: ref14 doi: 10.1109/83.605413 – ident: ref5 doi: 10.1109/TCE.2003.1261166 – ident: ref13 doi: 10.1109/TIP.2006.873460 – ident: ref10 doi: 10.1109/83.753747 – year: 2000 ident: ref15 publication-title: Methodology for Subjective Assessment of Quality Of Television Pictures – ident: ref4 doi: 10.1109/TIP.2005.851681 |
| SSID | ssj0014516 |
| Score | 1.8846812 |
| Snippet | This paper introduces the concept of a similarity check function for error-resilient multimedia data transmission. The proposed similarity check function... The design of a perceptual similarity check function is presented for wavelet-based coders such as the JPEG2000 standard, and used with a proposed... |
| SourceID | proquest pubmed pascalfrancis crossref ieee |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 2936 |
| SubjectTerms | Algorithms Applied sciences Automatic repeat request Binary symmetric channel Channels Cyclic redundancy check Data Compression - methods Data Interpretation, Statistical data retransmission Decoding Detection, estimation, filtering, equalization, prediction Error correction Error correction codes error detection Exact sciences and technology Forward error correction Image coding Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image reconstruction Image segmentation image transmission Information, signal and communications theory Miscellaneous Multimedia Numerical Analysis, Computer-Assisted perception Protection Receivers Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal, noise Similarity Simulation Telecommunications and information theory Visual |
| Title | Selective Error Detection for Error-Resilient Wavelet-Based Image Coding |
| URI | https://ieeexplore.ieee.org/document/4374124 https://www.ncbi.nlm.nih.gov/pubmed/18092593 https://www.proquest.com/docview/864999808 https://www.proquest.com/docview/1671344670 https://www.proquest.com/docview/69073176 https://www.proquest.com/docview/896186652 |
| Volume | 16 |
| WOSCitedRecordID | wos000251295700007&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 | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1941-0042 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014516 issn: 1057-7149 databaseCode: RIE dateStart: 19920101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT9wwEB4B4tAeSgt9pJTFlXrooYY8_Ti2FAQXhFqq7i1yHFtCokmVZPv7O-OEUKTugVuUTCJn7PF847HnA_jg89Sjm1Rcqcrx3Meam7zW3CqcGl1lZGFsIJuQl5dqudRXG_BpPgvjnAubz9wRXYZcft3aFS2VHeeZJLLkTdiUUoxnteaMARHOhsxmIblE2D-V8UlifXx9cTXWKtQYvqeBG0bFGnF_9sAZBXYV2htpelSPH3kt1gPP4IDOdh7X9OfwbAKa7PM4Ml7Ahmt2YWcCnWwy6X4Xnv5TkXAPzr8HXhycAtlp17Ud--qGsFmrYYhux3v8m-tvbukcJftpiLdi4F_QF9bs4hdOTuykJXf4En6cnV6fnPOJbIFbbNvAq1RULo6rzNMqrk2dKArnva0zRFCVKiqVibwuYpN45_PCVKnNTJLUnkpmSV9nr2CraRv3BpiR2mTWOIz8NKIxWdWEI3SaZEokiHgiOLrTemmnSuREiHFbhogk1iX2GPFjynLssQg-zi_8HotwrBfdI-XPYpPeI1g86Nb7z2iFCK6QEezf9XM5WXFfKkHxoIqxxe_np2h-lFMxjWtXfZkIOoyL3iaO4HCNDC1AIEwTEbA1Eop4d4Qo0ghej2PsvoHTUH37_x_bhydhtTlssHkHW0O3cgewbf8MN323QENZqkUwlL92egwp |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Nb9QwEB2VggQcKLRQQqENEgcOuM237SOUVruirCpYRG-R49hSpZJUSZbfz4zjplRiD9yiZBJNPB7Psz2eB_DOZonFMCmYEJVhmY0kU1ktmRY4NJpK8VxpRzbBFwtxcSHPN-DDdBbGGOOSz8whXbq9_LrVK1oqO8pSTmTJ9-A-MWf501rTngFRzrq9zZwzjsDfF_KJI3m0nJ-P1QolTuATxw4jIonIP70Tjhy_CmVHqh4byI7MFuuhpwtBp1v_p_xTeOKhZvhx7BvPYMM027DlYWfonbrfhsd_1STcgdl3x4yDg2B40nVtF342g0vXakLEt-M99s30l1d0kjL8qYi5YmCfMBrW4fwXDk_hcUsB8Tn8OD1ZHs-Yp1tgGnUbWJUUlYmiKrW0jqsTU-S5sVbXKWKoSuSVSIusziMVW2OzXFWJTlUc15aKZnFbpy9gs2kb8xJCxaVKtTI495OIx3hVE5KQSZyKIkbME8DhTauX2tciJ0qMq9LNSSJZosWIIZOXo8UCeD-9cD2W4VgvukONP4n5dg9g_45Zbz8jBWK4nAewd2Pn0vtxX4qCZoQiQo3fTk_RAWlXRTWmXfVlXNBxXIw3UQAHa2RoCQKBWhFAuEZCEPNOUeRJALtjH7tV0HfVV__-sQN4OFt-PSvP5osve_DIrT27dJvXsDl0K_MGHujfw2Xf7Tt3-QM9Ow6K |
| 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%3Ajournal&rft.genre=article&rft.atitle=Selective+error+detection+for+error-resilient+wavelet-based+image+coding&rft.jtitle=IEEE+transactions+on+image+processing&rft.au=Karam%2C+Lina+J&rft.au=Lam%2C+Tuyet-Trang&rft.date=2007-12-01&rft.issn=1057-7149&rft.volume=16&rft.issue=12&rft.spage=2936&rft_id=info:doi/10.1109%2Ftip.2007.909321&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1057-7149&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1057-7149&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1057-7149&client=summon |