An integrated method for ancient Chinese tablet images de-noising based on assemble of multiple image smoothing filters

There are unavoidably lots of noises in tablet images due to natural or man-made decay, which have a significant affect on learning and studying of the ancient Chinese calligraphy works with Chinese tablet images. To address this problem, an integrated de-noising method, based on assemble of multipl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Multimedia tools and applications 2016-10, Vol.75 (19), p.12245-12261
Hauptverfasser: Shi, Zhenghao, Xu, Binxin, Zheng, Xia, Zhao, Minghua
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 12261
container_issue 19
container_start_page 12245
container_title Multimedia tools and applications
container_volume 75
creator Shi, Zhenghao
Xu, Binxin
Zheng, Xia
Zhao, Minghua
description There are unavoidably lots of noises in tablet images due to natural or man-made decay, which have a significant affect on learning and studying of the ancient Chinese calligraphy works with Chinese tablet images. To address this problem, an integrated de-noising method, based on assemble of multiple image smoothing filters, is proposed in this paper. To avoid damaging characters and losing detail information, input Chinese tablet images are enhanced by the Guided filter and multi-scale Retinex filter firstly. Then the enhanced tablet images are converted to binary ones by the Otsu thresholding filter. Finally, most random and block noises are removed using an improved scan-length statistics filter based on connected region. The performance of the proposed method was validated on our Chinese tablet image data set, which consists of 200 Chinese tablet images with different kinds of noise. Experiments show that, the proposed method can effectively remove most image noise (including various block noise, linear noise and ant-like noise) and preserve characters better than existing methods.
doi_str_mv 10.1007/s11042-016-3421-3
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1845793375</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4169735121</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-c21e4ab1898aedf6a1109362bf59776354b334a4f851e091701a77cc2d11ddc03</originalsourceid><addsrcrecordid>eNp10bFu2zAQBmChSIA6Th4gG4EuWdjwSEqURsNI0wIBsrQzQUknm4ZEujwaRd--dJyhKNCJN3z_gXdXVfcgPoMQ5pEAhJZcQMOVlsDVh2oFtVHcGAlXpVat4KYW8LG6ITqIAmupV9WvTWA-ZNwll3FkC-Z9HNkUE3Nh8Bgy2-59QEKWXT9jZn5xOyQ2Ig_Rkw871jsqyRiYI8KlIBYntpzm7I-lfvOMlhjz_qwnP2dMdFtdT24mvHt_19WPL0_ft1_5y-vzt-3mhQ9Kd5kPElC7HtqudThOjStjdqqR_VR3xjSq1r1S2umprQFFB0aAM2YY5AgwjoNQ6-rh0veY4s8TUraLpwHn2QWMJ7LQ6tp0Spm60E__0EM8pVB-VxQ0WgoQbVFwUUOKRAkne0xlxvTbgrDnU9jLKWzZsD2fwqqSkZcMFRt2mP7q_N_QH9v7i_E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1816420108</pqid></control><display><type>article</type><title>An integrated method for ancient Chinese tablet images de-noising based on assemble of multiple image smoothing filters</title><source>Springer Nature - Complete Springer Journals</source><creator>Shi, Zhenghao ; Xu, Binxin ; Zheng, Xia ; Zhao, Minghua</creator><creatorcontrib>Shi, Zhenghao ; Xu, Binxin ; Zheng, Xia ; Zhao, Minghua</creatorcontrib><description>There are unavoidably lots of noises in tablet images due to natural or man-made decay, which have a significant affect on learning and studying of the ancient Chinese calligraphy works with Chinese tablet images. To address this problem, an integrated de-noising method, based on assemble of multiple image smoothing filters, is proposed in this paper. To avoid damaging characters and losing detail information, input Chinese tablet images are enhanced by the Guided filter and multi-scale Retinex filter firstly. Then the enhanced tablet images are converted to binary ones by the Otsu thresholding filter. Finally, most random and block noises are removed using an improved scan-length statistics filter based on connected region. The performance of the proposed method was validated on our Chinese tablet image data set, which consists of 200 Chinese tablet images with different kinds of noise. Experiments show that, the proposed method can effectively remove most image noise (including various block noise, linear noise and ant-like noise) and preserve characters better than existing methods.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-016-3421-3</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Analysis ; Calligraphy ; Chinese languages ; Computer Communication Networks ; Computer Science ; Cultural heritage ; Data Structures and Information Theory ; Historical artifacts ; Image enhancement ; Image processing systems ; Inheritances ; Methods ; Multimedia Information Systems ; Noise ; Retinex (algorithm) ; Smoothing ; Special Purpose and Application-Based Systems ; Statistics ; Studies ; Tablets</subject><ispartof>Multimedia tools and applications, 2016-10, Vol.75 (19), p.12245-12261</ispartof><rights>Springer Science+Business Media New York 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-c21e4ab1898aedf6a1109362bf59776354b334a4f851e091701a77cc2d11ddc03</citedby><cites>FETCH-LOGICAL-c349t-c21e4ab1898aedf6a1109362bf59776354b334a4f851e091701a77cc2d11ddc03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11042-016-3421-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11042-016-3421-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Shi, Zhenghao</creatorcontrib><creatorcontrib>Xu, Binxin</creatorcontrib><creatorcontrib>Zheng, Xia</creatorcontrib><creatorcontrib>Zhao, Minghua</creatorcontrib><title>An integrated method for ancient Chinese tablet images de-noising based on assemble of multiple image smoothing filters</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>There are unavoidably lots of noises in tablet images due to natural or man-made decay, which have a significant affect on learning and studying of the ancient Chinese calligraphy works with Chinese tablet images. To address this problem, an integrated de-noising method, based on assemble of multiple image smoothing filters, is proposed in this paper. To avoid damaging characters and losing detail information, input Chinese tablet images are enhanced by the Guided filter and multi-scale Retinex filter firstly. Then the enhanced tablet images are converted to binary ones by the Otsu thresholding filter. Finally, most random and block noises are removed using an improved scan-length statistics filter based on connected region. The performance of the proposed method was validated on our Chinese tablet image data set, which consists of 200 Chinese tablet images with different kinds of noise. Experiments show that, the proposed method can effectively remove most image noise (including various block noise, linear noise and ant-like noise) and preserve characters better than existing methods.</description><subject>Analysis</subject><subject>Calligraphy</subject><subject>Chinese languages</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Cultural heritage</subject><subject>Data Structures and Information Theory</subject><subject>Historical artifacts</subject><subject>Image enhancement</subject><subject>Image processing systems</subject><subject>Inheritances</subject><subject>Methods</subject><subject>Multimedia Information Systems</subject><subject>Noise</subject><subject>Retinex (algorithm)</subject><subject>Smoothing</subject><subject>Special Purpose and Application-Based Systems</subject><subject>Statistics</subject><subject>Studies</subject><subject>Tablets</subject><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp10bFu2zAQBmChSIA6Th4gG4EuWdjwSEqURsNI0wIBsrQzQUknm4ZEujwaRd--dJyhKNCJN3z_gXdXVfcgPoMQ5pEAhJZcQMOVlsDVh2oFtVHcGAlXpVat4KYW8LG6ITqIAmupV9WvTWA-ZNwll3FkC-Z9HNkUE3Nh8Bgy2-59QEKWXT9jZn5xOyQ2Ig_Rkw871jsqyRiYI8KlIBYntpzm7I-lfvOMlhjz_qwnP2dMdFtdT24mvHt_19WPL0_ft1_5y-vzt-3mhQ9Kd5kPElC7HtqudThOjStjdqqR_VR3xjSq1r1S2umprQFFB0aAM2YY5AgwjoNQ6-rh0veY4s8TUraLpwHn2QWMJ7LQ6tp0Spm60E__0EM8pVB-VxQ0WgoQbVFwUUOKRAkne0xlxvTbgrDnU9jLKWzZsD2fwqqSkZcMFRt2mP7q_N_QH9v7i_E</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Shi, Zhenghao</creator><creator>Xu, Binxin</creator><creator>Zheng, Xia</creator><creator>Zhao, Minghua</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20161001</creationdate><title>An integrated method for ancient Chinese tablet images de-noising based on assemble of multiple image smoothing filters</title><author>Shi, Zhenghao ; Xu, Binxin ; Zheng, Xia ; Zhao, Minghua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-c21e4ab1898aedf6a1109362bf59776354b334a4f851e091701a77cc2d11ddc03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Analysis</topic><topic>Calligraphy</topic><topic>Chinese languages</topic><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Cultural heritage</topic><topic>Data Structures and Information Theory</topic><topic>Historical artifacts</topic><topic>Image enhancement</topic><topic>Image processing systems</topic><topic>Inheritances</topic><topic>Methods</topic><topic>Multimedia Information Systems</topic><topic>Noise</topic><topic>Retinex (algorithm)</topic><topic>Smoothing</topic><topic>Special Purpose and Application-Based Systems</topic><topic>Statistics</topic><topic>Studies</topic><topic>Tablets</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Zhenghao</creatorcontrib><creatorcontrib>Xu, Binxin</creatorcontrib><creatorcontrib>Zheng, Xia</creatorcontrib><creatorcontrib>Zhao, Minghua</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Multimedia tools and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Zhenghao</au><au>Xu, Binxin</au><au>Zheng, Xia</au><au>Zhao, Minghua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An integrated method for ancient Chinese tablet images de-noising based on assemble of multiple image smoothing filters</atitle><jtitle>Multimedia tools and applications</jtitle><stitle>Multimed Tools Appl</stitle><date>2016-10-01</date><risdate>2016</risdate><volume>75</volume><issue>19</issue><spage>12245</spage><epage>12261</epage><pages>12245-12261</pages><issn>1380-7501</issn><eissn>1573-7721</eissn><abstract>There are unavoidably lots of noises in tablet images due to natural or man-made decay, which have a significant affect on learning and studying of the ancient Chinese calligraphy works with Chinese tablet images. To address this problem, an integrated de-noising method, based on assemble of multiple image smoothing filters, is proposed in this paper. To avoid damaging characters and losing detail information, input Chinese tablet images are enhanced by the Guided filter and multi-scale Retinex filter firstly. Then the enhanced tablet images are converted to binary ones by the Otsu thresholding filter. Finally, most random and block noises are removed using an improved scan-length statistics filter based on connected region. The performance of the proposed method was validated on our Chinese tablet image data set, which consists of 200 Chinese tablet images with different kinds of noise. Experiments show that, the proposed method can effectively remove most image noise (including various block noise, linear noise and ant-like noise) and preserve characters better than existing methods.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-016-3421-3</doi><tpages>17</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1380-7501
ispartof Multimedia tools and applications, 2016-10, Vol.75 (19), p.12245-12261
issn 1380-7501
1573-7721
language eng
recordid cdi_proquest_miscellaneous_1845793375
source Springer Nature - Complete Springer Journals
subjects Analysis
Calligraphy
Chinese languages
Computer Communication Networks
Computer Science
Cultural heritage
Data Structures and Information Theory
Historical artifacts
Image enhancement
Image processing systems
Inheritances
Methods
Multimedia Information Systems
Noise
Retinex (algorithm)
Smoothing
Special Purpose and Application-Based Systems
Statistics
Studies
Tablets
title An integrated method for ancient Chinese tablet images de-noising based on assemble of multiple image smoothing filters
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T07%3A58%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20integrated%20method%20for%20ancient%20Chinese%20tablet%20images%20de-noising%20based%20on%20assemble%20of%20multiple%20image%20smoothing%20filters&rft.jtitle=Multimedia%20tools%20and%20applications&rft.au=Shi,%20Zhenghao&rft.date=2016-10-01&rft.volume=75&rft.issue=19&rft.spage=12245&rft.epage=12261&rft.pages=12245-12261&rft.issn=1380-7501&rft.eissn=1573-7721&rft_id=info:doi/10.1007/s11042-016-3421-3&rft_dat=%3Cproquest_cross%3E4169735121%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1816420108&rft_id=info:pmid/&rfr_iscdi=true