Implementation of Fractal image compression on FPGA

Fractal Image Compression (FIC) is known as a lossy technique, which requires a large amount of operations to complete the codification. The development of VLSI technology allows the creation of complete systems inside a single chip likely FPGA, therefore the number of required operations may reduce...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Thai Nam Son, Ong Manh Hung, Dang Thi Xuan, Tran Van Long, Nguyen Tien Dzung, Thang Manh Hoang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 344
container_issue
container_start_page 339
container_title
container_volume
creator Thai Nam Son
Ong Manh Hung
Dang Thi Xuan
Tran Van Long
Nguyen Tien Dzung
Thang Manh Hoang
description Fractal Image Compression (FIC) is known as a lossy technique, which requires a large amount of operations to complete the codification. The development of VLSI technology allows the creation of complete systems inside a single chip likely FPGA, therefore the number of required operations may reduce and data compression becomes increasingly significant for storage and transmission. In this paper, we propose the implementation of a FIC framework on Xilinx Virtex 5 (XUPV5-LX110T) FPGA board, which allows to significantly decrease the elapsing time compared to that implemented in DSP at the same clock rate of 100MHz. The experimental results performed by Fisher's method for a gray level image have verified the possibility to design a SoC for fast fractal coder/decoder with an increased compression performance.
doi_str_mv 10.1109/CCE.2012.6315924
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6315924</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6315924</ieee_id><sourcerecordid>6315924</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-282170705afcd1282d7bbf0a1e08f2ad891f0c2299ccc3deac8d089cbed4c4953</originalsourceid><addsrcrecordid>eNpFj09Lw0AUxFdEUGvvgpd8gcT33m66u8cSmloo6KE9l83uW4nkH0kufnuDFpzL8GNgmBHiGSFDBPtaFLuMACnbSMwtqRvxiGqjJSmL6vYfiO7Fepq-YJFBbcE-CHloh4Zb7mY3132X9DEpR-dn1yR16z458X07jDxNv2GXlB_77ZO4i66ZeH31lTiXu1Pxlh7f94die0xr1PmckiHUoCF30QdcKOiqiuCQwURywViM4Ims9d7LwM6bAMb6ioPyyuZyJV7-emtmvgzjMmj8vlxPyh9BP0S0</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Implementation of Fractal image compression on FPGA</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Thai Nam Son ; Ong Manh Hung ; Dang Thi Xuan ; Tran Van Long ; Nguyen Tien Dzung ; Thang Manh Hoang</creator><creatorcontrib>Thai Nam Son ; Ong Manh Hung ; Dang Thi Xuan ; Tran Van Long ; Nguyen Tien Dzung ; Thang Manh Hoang</creatorcontrib><description>Fractal Image Compression (FIC) is known as a lossy technique, which requires a large amount of operations to complete the codification. The development of VLSI technology allows the creation of complete systems inside a single chip likely FPGA, therefore the number of required operations may reduce and data compression becomes increasingly significant for storage and transmission. In this paper, we propose the implementation of a FIC framework on Xilinx Virtex 5 (XUPV5-LX110T) FPGA board, which allows to significantly decrease the elapsing time compared to that implemented in DSP at the same clock rate of 100MHz. The experimental results performed by Fisher's method for a gray level image have verified the possibility to design a SoC for fast fractal coder/decoder with an increased compression performance.</description><identifier>ISBN: 1467324922</identifier><identifier>ISBN: 9781467324922</identifier><identifier>EISBN: 1467324914</identifier><identifier>EISBN: 9781467324939</identifier><identifier>EISBN: 1467324930</identifier><identifier>EISBN: 9781467324915</identifier><identifier>DOI: 10.1109/CCE.2012.6315924</identifier><language>eng</language><publisher>IEEE</publisher><subject>Digital signal processing ; FIC ; Field programmable gate arrays ; Fisher's method ; FPGA ; Fractals ; Image coding ; PSNR ; Random access memory ; SoC ; System-on-a-chip</subject><ispartof>2012 Fourth International Conference on Communications and Electronics (ICCE), 2012, p.339-344</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/6315924$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6315924$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Thai Nam Son</creatorcontrib><creatorcontrib>Ong Manh Hung</creatorcontrib><creatorcontrib>Dang Thi Xuan</creatorcontrib><creatorcontrib>Tran Van Long</creatorcontrib><creatorcontrib>Nguyen Tien Dzung</creatorcontrib><creatorcontrib>Thang Manh Hoang</creatorcontrib><title>Implementation of Fractal image compression on FPGA</title><title>2012 Fourth International Conference on Communications and Electronics (ICCE)</title><addtitle>CCE</addtitle><description>Fractal Image Compression (FIC) is known as a lossy technique, which requires a large amount of operations to complete the codification. The development of VLSI technology allows the creation of complete systems inside a single chip likely FPGA, therefore the number of required operations may reduce and data compression becomes increasingly significant for storage and transmission. In this paper, we propose the implementation of a FIC framework on Xilinx Virtex 5 (XUPV5-LX110T) FPGA board, which allows to significantly decrease the elapsing time compared to that implemented in DSP at the same clock rate of 100MHz. The experimental results performed by Fisher's method for a gray level image have verified the possibility to design a SoC for fast fractal coder/decoder with an increased compression performance.</description><subject>Digital signal processing</subject><subject>FIC</subject><subject>Field programmable gate arrays</subject><subject>Fisher's method</subject><subject>FPGA</subject><subject>Fractals</subject><subject>Image coding</subject><subject>PSNR</subject><subject>Random access memory</subject><subject>SoC</subject><subject>System-on-a-chip</subject><isbn>1467324922</isbn><isbn>9781467324922</isbn><isbn>1467324914</isbn><isbn>9781467324939</isbn><isbn>1467324930</isbn><isbn>9781467324915</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFj09Lw0AUxFdEUGvvgpd8gcT33m66u8cSmloo6KE9l83uW4nkH0kufnuDFpzL8GNgmBHiGSFDBPtaFLuMACnbSMwtqRvxiGqjJSmL6vYfiO7Fepq-YJFBbcE-CHloh4Zb7mY3132X9DEpR-dn1yR16z458X07jDxNv2GXlB_77ZO4i66ZeH31lTiXu1Pxlh7f94die0xr1PmckiHUoCF30QdcKOiqiuCQwURywViM4Ims9d7LwM6bAMb6ioPyyuZyJV7-emtmvgzjMmj8vlxPyh9BP0S0</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Thai Nam Son</creator><creator>Ong Manh Hung</creator><creator>Dang Thi Xuan</creator><creator>Tran Van Long</creator><creator>Nguyen Tien Dzung</creator><creator>Thang Manh Hoang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>Implementation of Fractal image compression on FPGA</title><author>Thai Nam Son ; Ong Manh Hung ; Dang Thi Xuan ; Tran Van Long ; Nguyen Tien Dzung ; Thang Manh Hoang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-282170705afcd1282d7bbf0a1e08f2ad891f0c2299ccc3deac8d089cbed4c4953</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Digital signal processing</topic><topic>FIC</topic><topic>Field programmable gate arrays</topic><topic>Fisher's method</topic><topic>FPGA</topic><topic>Fractals</topic><topic>Image coding</topic><topic>PSNR</topic><topic>Random access memory</topic><topic>SoC</topic><topic>System-on-a-chip</topic><toplevel>online_resources</toplevel><creatorcontrib>Thai Nam Son</creatorcontrib><creatorcontrib>Ong Manh Hung</creatorcontrib><creatorcontrib>Dang Thi Xuan</creatorcontrib><creatorcontrib>Tran Van Long</creatorcontrib><creatorcontrib>Nguyen Tien Dzung</creatorcontrib><creatorcontrib>Thang Manh Hoang</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>Thai Nam Son</au><au>Ong Manh Hung</au><au>Dang Thi Xuan</au><au>Tran Van Long</au><au>Nguyen Tien Dzung</au><au>Thang Manh Hoang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Implementation of Fractal image compression on FPGA</atitle><btitle>2012 Fourth International Conference on Communications and Electronics (ICCE)</btitle><stitle>CCE</stitle><date>2012-08</date><risdate>2012</risdate><spage>339</spage><epage>344</epage><pages>339-344</pages><isbn>1467324922</isbn><isbn>9781467324922</isbn><eisbn>1467324914</eisbn><eisbn>9781467324939</eisbn><eisbn>1467324930</eisbn><eisbn>9781467324915</eisbn><abstract>Fractal Image Compression (FIC) is known as a lossy technique, which requires a large amount of operations to complete the codification. The development of VLSI technology allows the creation of complete systems inside a single chip likely FPGA, therefore the number of required operations may reduce and data compression becomes increasingly significant for storage and transmission. In this paper, we propose the implementation of a FIC framework on Xilinx Virtex 5 (XUPV5-LX110T) FPGA board, which allows to significantly decrease the elapsing time compared to that implemented in DSP at the same clock rate of 100MHz. The experimental results performed by Fisher's method for a gray level image have verified the possibility to design a SoC for fast fractal coder/decoder with an increased compression performance.</abstract><pub>IEEE</pub><doi>10.1109/CCE.2012.6315924</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1467324922
ispartof 2012 Fourth International Conference on Communications and Electronics (ICCE), 2012, p.339-344
issn
language eng
recordid cdi_ieee_primary_6315924
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Digital signal processing
FIC
Field programmable gate arrays
Fisher's method
FPGA
Fractals
Image coding
PSNR
Random access memory
SoC
System-on-a-chip
title Implementation of Fractal image compression on FPGA
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T15%3A57%3A38IST&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=Implementation%20of%20Fractal%20image%20compression%20on%20FPGA&rft.btitle=2012%20Fourth%20International%20Conference%20on%20Communications%20and%20Electronics%20(ICCE)&rft.au=Thai%20Nam%20Son&rft.date=2012-08&rft.spage=339&rft.epage=344&rft.pages=339-344&rft.isbn=1467324922&rft.isbn_list=9781467324922&rft_id=info:doi/10.1109/CCE.2012.6315924&rft_dat=%3Cieee_6IE%3E6315924%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1467324914&rft.eisbn_list=9781467324939&rft.eisbn_list=1467324930&rft.eisbn_list=9781467324915&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6315924&rfr_iscdi=true