Partitioning morphological wavelet image coding
Recent successes in wavelet image coding are mainly attributed to the exploitation of within and cross subband redundancies with optimized rate-distortion analysis. There have been several very competitive wavelet coders developed, such as Said and Pearlman's SPIHT, Xiong et al.'s SFQ and...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 482 Vol.1 |
|---|---|
| container_issue | |
| container_start_page | 479 |
| container_title | |
| container_volume | 1 |
| creator | Li, E.Q. Huijuan Cui |
| description | Recent successes in wavelet image coding are mainly attributed to the exploitation of within and cross subband redundancies with optimized rate-distortion analysis. There have been several very competitive wavelet coders developed, such as Said and Pearlman's SPIHT, Xiong et al.'s SFQ and the JPEG2000 standard etc. A novel wavelet image coding algorithm, namely partitioning morphological wavelet image coding (PMWC) is proposed in this paper, which extends MRWD by logically partitioning the information in the morphological dilated cluster and exploiting the within and cross subband dependencies in the significant coefficient areas. Extensive experiments have shown that the proposed PMWC outperforms SPIHT and MRWD, and is very competitive with the state-of-the-art codecs such as SFQ and JPEG2000. Because of its inherit joint compression and noise reduction properties, the reconstructed images often show somewhat superior perceptual visual quality. |
| doi_str_mv | 10.1109/ICICS.2003.1292498 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1292498</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1292498</ieee_id><sourcerecordid>1292498</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-78d6a9b6c082b6812971d97318ab6597c9282db694cebcb9ce87153857fff58c3</originalsourceid><addsrcrecordid>eNotj8tqwzAURAWh0DTNDzQb_4AdPSLp3mUxfRgCKSRdB0m-dhWcKNimpX9fQzOb2QyHM4w9CV4IwXFdlVW5LyTnqhAS5QZhxh64Ba5AgIZ7thyGE5-iUEuJc7b-cP0Yx5gu8dJm59Rfv1KX2hhcl_24b-pozOLZtZSFVE-TR3bXuG6g5a0X7PP15VC-59vdW1U-b_MorB5zC7Vx6E3gIL2BycWKGq0S4LzRaANKkLU3uAnkg8dAYIVWoG3TNBqCWrDVPzcS0fHaTw797_H2Sf0B-vlB-g</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Partitioning morphological wavelet image coding</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Li, E.Q. ; Huijuan Cui</creator><creatorcontrib>Li, E.Q. ; Huijuan Cui</creatorcontrib><description>Recent successes in wavelet image coding are mainly attributed to the exploitation of within and cross subband redundancies with optimized rate-distortion analysis. There have been several very competitive wavelet coders developed, such as Said and Pearlman's SPIHT, Xiong et al.'s SFQ and the JPEG2000 standard etc. A novel wavelet image coding algorithm, namely partitioning morphological wavelet image coding (PMWC) is proposed in this paper, which extends MRWD by logically partitioning the information in the morphological dilated cluster and exploiting the within and cross subband dependencies in the significant coefficient areas. Extensive experiments have shown that the proposed PMWC outperforms SPIHT and MRWD, and is very competitive with the state-of-the-art codecs such as SFQ and JPEG2000. Because of its inherit joint compression and noise reduction properties, the reconstructed images often show somewhat superior perceptual visual quality.</description><identifier>ISBN: 0780381858</identifier><identifier>ISBN: 9780780381858</identifier><identifier>DOI: 10.1109/ICICS.2003.1292498</identifier><language>eng</language><publisher>IEEE</publisher><subject>Clustering algorithms ; Code standards ; Codecs ; Image analysis ; Image coding ; Partitioning algorithms ; Rate-distortion ; Standards development ; Transform coding ; Wavelet analysis</subject><ispartof>Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint, 2003, Vol.1, p.479-482 Vol.1</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1292498$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1292498$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Li, E.Q.</creatorcontrib><creatorcontrib>Huijuan Cui</creatorcontrib><title>Partitioning morphological wavelet image coding</title><title>Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint</title><addtitle>ICICS</addtitle><description>Recent successes in wavelet image coding are mainly attributed to the exploitation of within and cross subband redundancies with optimized rate-distortion analysis. There have been several very competitive wavelet coders developed, such as Said and Pearlman's SPIHT, Xiong et al.'s SFQ and the JPEG2000 standard etc. A novel wavelet image coding algorithm, namely partitioning morphological wavelet image coding (PMWC) is proposed in this paper, which extends MRWD by logically partitioning the information in the morphological dilated cluster and exploiting the within and cross subband dependencies in the significant coefficient areas. Extensive experiments have shown that the proposed PMWC outperforms SPIHT and MRWD, and is very competitive with the state-of-the-art codecs such as SFQ and JPEG2000. Because of its inherit joint compression and noise reduction properties, the reconstructed images often show somewhat superior perceptual visual quality.</description><subject>Clustering algorithms</subject><subject>Code standards</subject><subject>Codecs</subject><subject>Image analysis</subject><subject>Image coding</subject><subject>Partitioning algorithms</subject><subject>Rate-distortion</subject><subject>Standards development</subject><subject>Transform coding</subject><subject>Wavelet analysis</subject><isbn>0780381858</isbn><isbn>9780780381858</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2003</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tqwzAURAWh0DTNDzQb_4AdPSLp3mUxfRgCKSRdB0m-dhWcKNimpX9fQzOb2QyHM4w9CV4IwXFdlVW5LyTnqhAS5QZhxh64Ba5AgIZ7thyGE5-iUEuJc7b-cP0Yx5gu8dJm59Rfv1KX2hhcl_24b-pozOLZtZSFVE-TR3bXuG6g5a0X7PP15VC-59vdW1U-b_MorB5zC7Vx6E3gIL2BycWKGq0S4LzRaANKkLU3uAnkg8dAYIVWoG3TNBqCWrDVPzcS0fHaTw797_H2Sf0B-vlB-g</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Li, E.Q.</creator><creator>Huijuan Cui</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2003</creationdate><title>Partitioning morphological wavelet image coding</title><author>Li, E.Q. ; Huijuan Cui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-78d6a9b6c082b6812971d97318ab6597c9282db694cebcb9ce87153857fff58c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Clustering algorithms</topic><topic>Code standards</topic><topic>Codecs</topic><topic>Image analysis</topic><topic>Image coding</topic><topic>Partitioning algorithms</topic><topic>Rate-distortion</topic><topic>Standards development</topic><topic>Transform coding</topic><topic>Wavelet analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Li, E.Q.</creatorcontrib><creatorcontrib>Huijuan Cui</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li, E.Q.</au><au>Huijuan Cui</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Partitioning morphological wavelet image coding</atitle><btitle>Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint</btitle><stitle>ICICS</stitle><date>2003</date><risdate>2003</risdate><volume>1</volume><spage>479</spage><epage>482 Vol.1</epage><pages>479-482 Vol.1</pages><isbn>0780381858</isbn><isbn>9780780381858</isbn><abstract>Recent successes in wavelet image coding are mainly attributed to the exploitation of within and cross subband redundancies with optimized rate-distortion analysis. There have been several very competitive wavelet coders developed, such as Said and Pearlman's SPIHT, Xiong et al.'s SFQ and the JPEG2000 standard etc. A novel wavelet image coding algorithm, namely partitioning morphological wavelet image coding (PMWC) is proposed in this paper, which extends MRWD by logically partitioning the information in the morphological dilated cluster and exploiting the within and cross subband dependencies in the significant coefficient areas. Extensive experiments have shown that the proposed PMWC outperforms SPIHT and MRWD, and is very competitive with the state-of-the-art codecs such as SFQ and JPEG2000. Because of its inherit joint compression and noise reduction properties, the reconstructed images often show somewhat superior perceptual visual quality.</abstract><pub>IEEE</pub><doi>10.1109/ICICS.2003.1292498</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 0780381858 |
| ispartof | Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint, 2003, Vol.1, p.479-482 Vol.1 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_1292498 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Clustering algorithms Code standards Codecs Image analysis Image coding Partitioning algorithms Rate-distortion Standards development Transform coding Wavelet analysis |
| title | Partitioning morphological wavelet image coding |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T17%3A29%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Partitioning%20morphological%20wavelet%20image%20coding&rft.btitle=Fourth%20International%20Conference%20on%20Information,%20Communications%20and%20Signal%20Processing,%202003%20and%20the%20Fourth%20Pacific%20Rim%20Conference%20on%20Multimedia.%20Proceedings%20of%20the%202003%20Joint&rft.au=Li,%20E.Q.&rft.date=2003&rft.volume=1&rft.spage=479&rft.epage=482%20Vol.1&rft.pages=479-482%20Vol.1&rft.isbn=0780381858&rft.isbn_list=9780780381858&rft_id=info:doi/10.1109/ICICS.2003.1292498&rft_dat=%3Cieee_6IE%3E1292498%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1292498&rfr_iscdi=true |