Weighted DCT-IF for Image up Scaling

The design of an efficient scaler to enhance the edge data is one of the most important issues in video signal applications, because the perceptual quality of the processed image is sensitively affected by the degradation of edge data. Various conventional scaling schemes have been proposed to enhan...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:KSII transactions on Internet and information systems 2019-02, Vol.13 (2), p.790-809
Hauptverfasser: Lee, Jae-Yung, Yoon, Sung-Jun, Kim, Jae-Gon, Han, Jong-Ki
Format: Artikel
Sprache:kor
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 809
container_issue 2
container_start_page 790
container_title KSII transactions on Internet and information systems
container_volume 13
creator Lee, Jae-Yung
Yoon, Sung-Jun
Kim, Jae-Gon
Han, Jong-Ki
description The design of an efficient scaler to enhance the edge data is one of the most important issues in video signal applications, because the perceptual quality of the processed image is sensitively affected by the degradation of edge data. Various conventional scaling schemes have been proposed to enhance the edge data. In this paper, we propose an efficient scaling algorithm for this purpose. The proposed method is based on the discrete cosine transform-based interpolation filter (DCT-IF) because it outperforms other scaling algorithms in various configurations. The proposed DCT-IF incorporates weighting parameters that are optimized for training data. Simulation results show that the quality of the resized image produced by the proposed DCT-IF is much higher than that of those produced by the conventional schemes, although the proposed DCT-IF is more complex than other conventional scaling algorithms.
format Article
fullrecord <record><control><sourceid>kiss_kisti</sourceid><recordid>TN_cdi_kisti_ndsl_JAKO201914260133322</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><kiss_id>3660865</kiss_id><sourcerecordid>3660865</sourcerecordid><originalsourceid>FETCH-LOGICAL-k502-1890a2b9a3ef01db1f5e8e76ae50dc66af3f1ff27cf882eafc53b100f089e1353</originalsourceid><addsrcrecordid>eNpNjE1Lw0AUABdRsNT-Ai970OPCe2-7HzmWaDVa6MGAx7BJ9sWlaS3ZevDfKyjiaeYwzJmYYeGscuTc-T-_FIucUwtInuzS-5m4eY1peDvFXt6VtarWkt8nWe3DEOXHUb50YUyH4UpccBhzXPxyLur1fV0-qs32oSpXG7UzQAp9AYHaIujIgH2LbKKPzoZooO-sDawZmcl17D3FwJ3RLQIw-CKiNnoubn-2u5RPqTn0eWyeVs9bAixwSRZQa0303V3_dbk5Tmkfps9GWwveGv0FzQVDUA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Weighted DCT-IF for Image up Scaling</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Lee, Jae-Yung ; Yoon, Sung-Jun ; Kim, Jae-Gon ; Han, Jong-Ki</creator><creatorcontrib>Lee, Jae-Yung ; Yoon, Sung-Jun ; Kim, Jae-Gon ; Han, Jong-Ki</creatorcontrib><description>The design of an efficient scaler to enhance the edge data is one of the most important issues in video signal applications, because the perceptual quality of the processed image is sensitively affected by the degradation of edge data. Various conventional scaling schemes have been proposed to enhance the edge data. In this paper, we propose an efficient scaling algorithm for this purpose. The proposed method is based on the discrete cosine transform-based interpolation filter (DCT-IF) because it outperforms other scaling algorithms in various configurations. The proposed DCT-IF incorporates weighting parameters that are optimized for training data. Simulation results show that the quality of the resized image produced by the proposed DCT-IF is much higher than that of those produced by the conventional schemes, although the proposed DCT-IF is more complex than other conventional scaling algorithms.</description><identifier>ISSN: 1976-7277</identifier><identifier>EISSN: 1976-7277</identifier><language>kor</language><publisher>한국인터넷정보학회</publisher><subject>DCT-IF ; Edge enhancement ; Up/down scaler</subject><ispartof>KSII transactions on Internet and information systems, 2019-02, Vol.13 (2), p.790-809</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885</link.rule.ids></links><search><creatorcontrib>Lee, Jae-Yung</creatorcontrib><creatorcontrib>Yoon, Sung-Jun</creatorcontrib><creatorcontrib>Kim, Jae-Gon</creatorcontrib><creatorcontrib>Han, Jong-Ki</creatorcontrib><title>Weighted DCT-IF for Image up Scaling</title><title>KSII transactions on Internet and information systems</title><addtitle>KSII Transactions on Internet and Information Systems (TIIS)</addtitle><description>The design of an efficient scaler to enhance the edge data is one of the most important issues in video signal applications, because the perceptual quality of the processed image is sensitively affected by the degradation of edge data. Various conventional scaling schemes have been proposed to enhance the edge data. In this paper, we propose an efficient scaling algorithm for this purpose. The proposed method is based on the discrete cosine transform-based interpolation filter (DCT-IF) because it outperforms other scaling algorithms in various configurations. The proposed DCT-IF incorporates weighting parameters that are optimized for training data. Simulation results show that the quality of the resized image produced by the proposed DCT-IF is much higher than that of those produced by the conventional schemes, although the proposed DCT-IF is more complex than other conventional scaling algorithms.</description><subject>DCT-IF</subject><subject>Edge enhancement</subject><subject>Up/down scaler</subject><issn>1976-7277</issn><issn>1976-7277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>JDI</sourceid><recordid>eNpNjE1Lw0AUABdRsNT-Ai970OPCe2-7HzmWaDVa6MGAx7BJ9sWlaS3ZevDfKyjiaeYwzJmYYeGscuTc-T-_FIucUwtInuzS-5m4eY1peDvFXt6VtarWkt8nWe3DEOXHUb50YUyH4UpccBhzXPxyLur1fV0-qs32oSpXG7UzQAp9AYHaIujIgH2LbKKPzoZooO-sDawZmcl17D3FwJ3RLQIw-CKiNnoubn-2u5RPqTn0eWyeVs9bAixwSRZQa0303V3_dbk5Tmkfps9GWwveGv0FzQVDUA</recordid><startdate>20190228</startdate><enddate>20190228</enddate><creator>Lee, Jae-Yung</creator><creator>Yoon, Sung-Jun</creator><creator>Kim, Jae-Gon</creator><creator>Han, Jong-Ki</creator><general>한국인터넷정보학회</general><scope>HZB</scope><scope>Q5X</scope><scope>JDI</scope></search><sort><creationdate>20190228</creationdate><title>Weighted DCT-IF for Image up Scaling</title><author>Lee, Jae-Yung ; Yoon, Sung-Jun ; Kim, Jae-Gon ; Han, Jong-Ki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-k502-1890a2b9a3ef01db1f5e8e76ae50dc66af3f1ff27cf882eafc53b100f089e1353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>kor</language><creationdate>2019</creationdate><topic>DCT-IF</topic><topic>Edge enhancement</topic><topic>Up/down scaler</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Jae-Yung</creatorcontrib><creatorcontrib>Yoon, Sung-Jun</creatorcontrib><creatorcontrib>Kim, Jae-Gon</creatorcontrib><creatorcontrib>Han, Jong-Ki</creatorcontrib><collection>Korean Studies Information Service System (KISS)</collection><collection>Korean Studies Information Service System (KISS) B-Type</collection><collection>KoreaScience</collection><jtitle>KSII transactions on Internet and information systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Jae-Yung</au><au>Yoon, Sung-Jun</au><au>Kim, Jae-Gon</au><au>Han, Jong-Ki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Weighted DCT-IF for Image up Scaling</atitle><jtitle>KSII transactions on Internet and information systems</jtitle><addtitle>KSII Transactions on Internet and Information Systems (TIIS)</addtitle><date>2019-02-28</date><risdate>2019</risdate><volume>13</volume><issue>2</issue><spage>790</spage><epage>809</epage><pages>790-809</pages><issn>1976-7277</issn><eissn>1976-7277</eissn><abstract>The design of an efficient scaler to enhance the edge data is one of the most important issues in video signal applications, because the perceptual quality of the processed image is sensitively affected by the degradation of edge data. Various conventional scaling schemes have been proposed to enhance the edge data. In this paper, we propose an efficient scaling algorithm for this purpose. The proposed method is based on the discrete cosine transform-based interpolation filter (DCT-IF) because it outperforms other scaling algorithms in various configurations. The proposed DCT-IF incorporates weighting parameters that are optimized for training data. Simulation results show that the quality of the resized image produced by the proposed DCT-IF is much higher than that of those produced by the conventional schemes, although the proposed DCT-IF is more complex than other conventional scaling algorithms.</abstract><pub>한국인터넷정보학회</pub><tpages>20</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1976-7277
ispartof KSII transactions on Internet and information systems, 2019-02, Vol.13 (2), p.790-809
issn 1976-7277
1976-7277
language kor
recordid cdi_kisti_ndsl_JAKO201914260133322
source EZB-FREE-00999 freely available EZB journals
subjects DCT-IF
Edge enhancement
Up/down scaler
title Weighted DCT-IF for Image up Scaling
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T09%3A13%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-kiss_kisti&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Weighted%20DCT-IF%20for%20Image%20up%20Scaling&rft.jtitle=KSII%20transactions%20on%20Internet%20and%20information%20systems&rft.au=Lee,%20Jae-Yung&rft.date=2019-02-28&rft.volume=13&rft.issue=2&rft.spage=790&rft.epage=809&rft.pages=790-809&rft.issn=1976-7277&rft.eissn=1976-7277&rft_id=info:doi/&rft_dat=%3Ckiss_kisti%3E3660865%3C/kiss_kisti%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_kiss_id=3660865&rfr_iscdi=true