Method and apparatus for training neural network model for enhancing image detail
A neural network model training apparatus for enhancing image detail is provided. The apparatus includes a memory and at least one processor configured to obtain a low quality input image patch and a high quality input image patch, obtain a low quality output image patch by inputting the low quality...
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 | Shcherbinin, Andrei Yurievich Biryulin, Pavel Igorevich Anisimovskiy, Valery Valerievich |
description | A neural network model training apparatus for enhancing image detail is provided. The apparatus includes a memory and at least one processor configured to obtain a low quality input image patch and a high quality input image patch, obtain a low quality output image patch by inputting the low quality input image patch to a first neural network model, obtain a high quality output image patch by inputting the high quality input image patch to a second neural network model, and train the first neural network model based on a loss function set to reduce a difference between the low quality output image patch and the high quality input image patch, and a difference between the high quality output image patch and the high quality input image patch. The second neural network model is identical to the first neural network model. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US11521011B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US11521011B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US11521011B23</originalsourceid><addsrcrecordid>eNrjZAj0TS3JyE9RSMwD4oKCxKLEktJihbT8IoWSosTMvMy8dIW81NKixBwgVVKeX5StkJufkpoDVpGal5GYlwxSkpmbmJ6qkJJakpiZw8PAmpaYU5zKC6W5GRTdXEOcPXRTC_LjU4sLEpNTgUbFhwYbGpoaGRoYGjoZGROjBgDZ-ze2</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method and apparatus for training neural network model for enhancing image detail</title><source>esp@cenet</source><creator>Shcherbinin, Andrei Yurievich ; Biryulin, Pavel Igorevich ; Anisimovskiy, Valery Valerievich</creator><creatorcontrib>Shcherbinin, Andrei Yurievich ; Biryulin, Pavel Igorevich ; Anisimovskiy, Valery Valerievich</creatorcontrib><description>A neural network model training apparatus for enhancing image detail is provided. The apparatus includes a memory and at least one processor configured to obtain a low quality input image patch and a high quality input image patch, obtain a low quality output image patch by inputting the low quality input image patch to a first neural network model, obtain a high quality output image patch by inputting the high quality input image patch to a second neural network model, and train the first neural network model based on a loss function set to reduce a difference between the low quality output image patch and the high quality input image patch, and a difference between the high quality output image patch and the high quality input image patch. The second neural network model is identical to the first neural network model.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</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=20221206&DB=EPODOC&CC=US&NR=11521011B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221206&DB=EPODOC&CC=US&NR=11521011B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Shcherbinin, Andrei Yurievich</creatorcontrib><creatorcontrib>Biryulin, Pavel Igorevich</creatorcontrib><creatorcontrib>Anisimovskiy, Valery Valerievich</creatorcontrib><title>Method and apparatus for training neural network model for enhancing image detail</title><description>A neural network model training apparatus for enhancing image detail is provided. The apparatus includes a memory and at least one processor configured to obtain a low quality input image patch and a high quality input image patch, obtain a low quality output image patch by inputting the low quality input image patch to a first neural network model, obtain a high quality output image patch by inputting the high quality input image patch to a second neural network model, and train the first neural network model based on a loss function set to reduce a difference between the low quality output image patch and the high quality input image patch, and a difference between the high quality output image patch and the high quality input image patch. The second neural network model is identical to the first neural network model.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAj0TS3JyE9RSMwD4oKCxKLEktJihbT8IoWSosTMvMy8dIW81NKixBwgVVKeX5StkJufkpoDVpGal5GYlwxSkpmbmJ6qkJJakpiZw8PAmpaYU5zKC6W5GRTdXEOcPXRTC_LjU4sLEpNTgUbFhwYbGpoaGRoYGjoZGROjBgDZ-ze2</recordid><startdate>20221206</startdate><enddate>20221206</enddate><creator>Shcherbinin, Andrei Yurievich</creator><creator>Biryulin, Pavel Igorevich</creator><creator>Anisimovskiy, Valery Valerievich</creator><scope>EVB</scope></search><sort><creationdate>20221206</creationdate><title>Method and apparatus for training neural network model for enhancing image detail</title><author>Shcherbinin, Andrei Yurievich ; Biryulin, Pavel Igorevich ; Anisimovskiy, Valery Valerievich</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11521011B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>Shcherbinin, Andrei Yurievich</creatorcontrib><creatorcontrib>Biryulin, Pavel Igorevich</creatorcontrib><creatorcontrib>Anisimovskiy, Valery Valerievich</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shcherbinin, Andrei Yurievich</au><au>Biryulin, Pavel Igorevich</au><au>Anisimovskiy, Valery Valerievich</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and apparatus for training neural network model for enhancing image detail</title><date>2022-12-06</date><risdate>2022</risdate><abstract>A neural network model training apparatus for enhancing image detail is provided. The apparatus includes a memory and at least one processor configured to obtain a low quality input image patch and a high quality input image patch, obtain a low quality output image patch by inputting the low quality input image patch to a first neural network model, obtain a high quality output image patch by inputting the high quality input image patch to a second neural network model, and train the first neural network model based on a loss function set to reduce a difference between the low quality output image patch and the high quality input image patch, and a difference between the high quality output image patch and the high quality input image patch. The second neural network model is identical to the first neural network model.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US11521011B2 |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Method and apparatus for training neural network model for enhancing image detail |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T00%3A34%3A15IST&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=Shcherbinin,%20Andrei%20Yurievich&rft.date=2022-12-06&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS11521011B2%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 |