IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, LEARNING DEVICE, LEARNING METHOD, AND PROGRAM
PROBLEM TO BE SOLVED: To predict an image with higher image quality by acquiring information indicative of a continuous region which is present around an attentional pixel. SOLUTION: A prediction tap extraction section 61 extracts from first image data a prediction tap used for predictive calculatio...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , |
---|---|
Format: | Patent |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | MORI HIDEKI KAN YASUHIKO HARASAKI SHUNSUKE YAMADA SHINOBU FUKAZAWA KENTARO AOKI HIRONARI KONDO TETSUJIRO MORIMURA TAKUO INOMATA SEIICHI NAGANO KOSUKE |
description | PROBLEM TO BE SOLVED: To predict an image with higher image quality by acquiring information indicative of a continuous region which is present around an attentional pixel. SOLUTION: A prediction tap extraction section 61 extracts from first image data a prediction tap used for predictive calculation for predicting the attentional pixel of second image data, a matching position acquisition section 65 acquires a matching position representing a position at which a matching block most similar to a reference block is present from a matching range representing a range in which a plurality of pixels constituting a first image are present, and a direction class sorting section 66 sorts the pixel of interest into one of a plurality of direction classes on the basis of the matching position. A coefficient ROM 67 outputs a prediction coefficient corresponding to the direction class of the pixel of interest from among prediction coefficients calculated beforehand by learning, and a predictive calculation section 68 predicts the attentional pixel in the second image data by predictive calculation using the output prediction coefficient and a plurality of pixels constituting the extracted prediction tap. COPYRIGHT: (C)2010,JPO&INPIT |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_JP2009268021A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>JP2009268021A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_JP2009268021A3</originalsourceid><addsrcrecordid>eNrjZEjy9HV0d1UICPJ3dg0O9vRzV3AMCHAMcgwJDdZRwJDzdQ3x8HfRUfBxdQzyAwm4uIZ5OrsiCcBUOPq5gDS6Bzn68jCwpiXmFKfyQmluBiU31xBnD93Ugvz41OKCxOTUvNSSeK8AIwMDSyMzCwMjQ0djohQBABxFM_c</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, LEARNING DEVICE, LEARNING METHOD, AND PROGRAM</title><source>esp@cenet</source><creator>MORI HIDEKI ; KAN YASUHIKO ; HARASAKI SHUNSUKE ; YAMADA SHINOBU ; FUKAZAWA KENTARO ; AOKI HIRONARI ; KONDO TETSUJIRO ; MORIMURA TAKUO ; INOMATA SEIICHI ; NAGANO KOSUKE</creator><creatorcontrib>MORI HIDEKI ; KAN YASUHIKO ; HARASAKI SHUNSUKE ; YAMADA SHINOBU ; FUKAZAWA KENTARO ; AOKI HIRONARI ; KONDO TETSUJIRO ; MORIMURA TAKUO ; INOMATA SEIICHI ; NAGANO KOSUKE</creatorcontrib><description>PROBLEM TO BE SOLVED: To predict an image with higher image quality by acquiring information indicative of a continuous region which is present around an attentional pixel. SOLUTION: A prediction tap extraction section 61 extracts from first image data a prediction tap used for predictive calculation for predicting the attentional pixel of second image data, a matching position acquisition section 65 acquires a matching position representing a position at which a matching block most similar to a reference block is present from a matching range representing a range in which a plurality of pixels constituting a first image are present, and a direction class sorting section 66 sorts the pixel of interest into one of a plurality of direction classes on the basis of the matching position. A coefficient ROM 67 outputs a prediction coefficient corresponding to the direction class of the pixel of interest from among prediction coefficients calculated beforehand by learning, and a predictive calculation section 68 predicts the attentional pixel in the second image data by predictive calculation using the output prediction coefficient and a plurality of pixels constituting the extracted prediction tap. COPYRIGHT: (C)2010,JPO&INPIT</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><creationdate>2009</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20091112&DB=EPODOC&CC=JP&NR=2009268021A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20091112&DB=EPODOC&CC=JP&NR=2009268021A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MORI HIDEKI</creatorcontrib><creatorcontrib>KAN YASUHIKO</creatorcontrib><creatorcontrib>HARASAKI SHUNSUKE</creatorcontrib><creatorcontrib>YAMADA SHINOBU</creatorcontrib><creatorcontrib>FUKAZAWA KENTARO</creatorcontrib><creatorcontrib>AOKI HIRONARI</creatorcontrib><creatorcontrib>KONDO TETSUJIRO</creatorcontrib><creatorcontrib>MORIMURA TAKUO</creatorcontrib><creatorcontrib>INOMATA SEIICHI</creatorcontrib><creatorcontrib>NAGANO KOSUKE</creatorcontrib><title>IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, LEARNING DEVICE, LEARNING METHOD, AND PROGRAM</title><description>PROBLEM TO BE SOLVED: To predict an image with higher image quality by acquiring information indicative of a continuous region which is present around an attentional pixel. SOLUTION: A prediction tap extraction section 61 extracts from first image data a prediction tap used for predictive calculation for predicting the attentional pixel of second image data, a matching position acquisition section 65 acquires a matching position representing a position at which a matching block most similar to a reference block is present from a matching range representing a range in which a plurality of pixels constituting a first image are present, and a direction class sorting section 66 sorts the pixel of interest into one of a plurality of direction classes on the basis of the matching position. A coefficient ROM 67 outputs a prediction coefficient corresponding to the direction class of the pixel of interest from among prediction coefficients calculated beforehand by learning, and a predictive calculation section 68 predicts the attentional pixel in the second image data by predictive calculation using the output prediction coefficient and a plurality of pixels constituting the extracted prediction tap. COPYRIGHT: (C)2010,JPO&INPIT</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2009</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZEjy9HV0d1UICPJ3dg0O9vRzV3AMCHAMcgwJDdZRwJDzdQ3x8HfRUfBxdQzyAwm4uIZ5OrsiCcBUOPq5gDS6Bzn68jCwpiXmFKfyQmluBiU31xBnD93Ugvz41OKCxOTUvNSSeK8AIwMDSyMzCwMjQ0djohQBABxFM_c</recordid><startdate>20091112</startdate><enddate>20091112</enddate><creator>MORI HIDEKI</creator><creator>KAN YASUHIKO</creator><creator>HARASAKI SHUNSUKE</creator><creator>YAMADA SHINOBU</creator><creator>FUKAZAWA KENTARO</creator><creator>AOKI HIRONARI</creator><creator>KONDO TETSUJIRO</creator><creator>MORIMURA TAKUO</creator><creator>INOMATA SEIICHI</creator><creator>NAGANO KOSUKE</creator><scope>EVB</scope></search><sort><creationdate>20091112</creationdate><title>IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, LEARNING DEVICE, LEARNING METHOD, AND PROGRAM</title><author>MORI HIDEKI ; KAN YASUHIKO ; HARASAKI SHUNSUKE ; YAMADA SHINOBU ; FUKAZAWA KENTARO ; AOKI HIRONARI ; KONDO TETSUJIRO ; MORIMURA TAKUO ; INOMATA SEIICHI ; NAGANO KOSUKE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2009268021A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2009</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PICTORIAL COMMUNICATION, e.g. TELEVISION</topic><toplevel>online_resources</toplevel><creatorcontrib>MORI HIDEKI</creatorcontrib><creatorcontrib>KAN YASUHIKO</creatorcontrib><creatorcontrib>HARASAKI SHUNSUKE</creatorcontrib><creatorcontrib>YAMADA SHINOBU</creatorcontrib><creatorcontrib>FUKAZAWA KENTARO</creatorcontrib><creatorcontrib>AOKI HIRONARI</creatorcontrib><creatorcontrib>KONDO TETSUJIRO</creatorcontrib><creatorcontrib>MORIMURA TAKUO</creatorcontrib><creatorcontrib>INOMATA SEIICHI</creatorcontrib><creatorcontrib>NAGANO KOSUKE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MORI HIDEKI</au><au>KAN YASUHIKO</au><au>HARASAKI SHUNSUKE</au><au>YAMADA SHINOBU</au><au>FUKAZAWA KENTARO</au><au>AOKI HIRONARI</au><au>KONDO TETSUJIRO</au><au>MORIMURA TAKUO</au><au>INOMATA SEIICHI</au><au>NAGANO KOSUKE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, LEARNING DEVICE, LEARNING METHOD, AND PROGRAM</title><date>2009-11-12</date><risdate>2009</risdate><abstract>PROBLEM TO BE SOLVED: To predict an image with higher image quality by acquiring information indicative of a continuous region which is present around an attentional pixel. SOLUTION: A prediction tap extraction section 61 extracts from first image data a prediction tap used for predictive calculation for predicting the attentional pixel of second image data, a matching position acquisition section 65 acquires a matching position representing a position at which a matching block most similar to a reference block is present from a matching range representing a range in which a plurality of pixels constituting a first image are present, and a direction class sorting section 66 sorts the pixel of interest into one of a plurality of direction classes on the basis of the matching position. A coefficient ROM 67 outputs a prediction coefficient corresponding to the direction class of the pixel of interest from among prediction coefficients calculated beforehand by learning, and a predictive calculation section 68 predicts the attentional pixel in the second image data by predictive calculation using the output prediction coefficient and a plurality of pixels constituting the extracted prediction tap. COPYRIGHT: (C)2010,JPO&INPIT</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_JP2009268021A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION |
title | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, LEARNING DEVICE, LEARNING METHOD, AND PROGRAM |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T08%3A12%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=MORI%20HIDEKI&rft.date=2009-11-12&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EJP2009268021A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |