{"id":"https://openalex.org/W4409401742","doi":"https://doi.org/10.35382/tvujs.14.8.2024.80","title":"THE PROBLEM OF IMAGE SUPER-RESOLUTION, DENOISING AND IMAGE RESTORATION METHODS IN DEEP LEARNING MODELS","display_name":"THE PROBLEM OF IMAGE SUPER-RESOLUTION, DENOISING AND IMAGE RESTORATION METHODS IN DEEP LEARNING MODELS","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4409401742","doi":"https://doi.org/10.35382/tvujs.14.8.2024.80"},"language":"en","primary_location":{"id":"doi:10.35382/tvujs.14.8.2024.80","doi":"https://doi.org/10.35382/tvujs.14.8.2024.80","is_oa":true,"landing_page_url":"https://doi.org/10.35382/tvujs.14.8.2024.80","pdf_url":null,"source":{"id":"https://openalex.org/S4387281087","display_name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE","issn_l":"2815-6072","issn":["2815-6072","2815-6099"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I913630986","host_organization_name":"Tra Vinh University","host_organization_lineage":["https://openalex.org/I913630986"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.35382/tvujs.14.8.2024.80","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114150269","display_name":"Ngoc-Giau Pham","orcid":"https://orcid.org/0009-0007-9334-3641","observed_orcids":["https://orcid.org/0009-0007-9334-3641"]},"institutions":[{"id":"https://openalex.org/I4405277112","display_name":"Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Ti\u1ec1n Giang","ror":"https://ror.org/01gff7046","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405277112"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ngoc-Giau Pham","raw_affiliation_strings":["Tien Giang University, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tien Giang University, Vietnam","institution_ids":["https://openalex.org/I4405277112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113179909","display_name":"Thanh-Hai Tong Le","orcid":"https://orcid.org/0009-0000-9771-9553","observed_orcids":["https://orcid.org/0009-0000-9771-9553"]},"institutions":[{"id":"https://openalex.org/I4405277112","display_name":"Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Ti\u1ec1n Giang","ror":"https://ror.org/01gff7046","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405277112"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh-Hai Tong Le","raw_affiliation_strings":["Tien Giang University, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tien Giang University, Vietnam","institution_ids":["https://openalex.org/I4405277112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012874191","display_name":"Van-Hieu Duong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405277112","display_name":"Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Ti\u1ec1n Giang","ror":"https://ror.org/01gff7046","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405277112"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van-Hieu Duong","raw_affiliation_strings":["Tien Giang University, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tien Giang University, Vietnam","institution_ids":["https://openalex.org/I4405277112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101337911","display_name":"Hong-Ngoc Tran","orcid":"https://orcid.org/0000-0001-6369-5338","observed_orcids":["https://orcid.org/0000-0001-6369-5338"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong-Ngoc Tran","raw_affiliation_strings":["Viet Duc University, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Viet Duc University, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006423744","display_name":"Phuoc-Hung Vo","orcid":"https://orcid.org/0000-0002-7653-9200","observed_orcids":["https://orcid.org/0000-0002-7653-9200"]},"institutions":[{"id":"https://openalex.org/I913630986","display_name":"Tra Vinh University","ror":"https://ror.org/05ghhgs79","country_code":"VN","type":"education","lineage":["https://openalex.org/I913630986"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuoc-Hung Vo","raw_affiliation_strings":["Tra Vinh University, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tra Vinh University, Vietnam","institution_ids":["https://openalex.org/I913630986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19257238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-super-resolution","display_name":"image super-resolution","score":0.9990000128746033},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.9890000224113464},{"id":"https://openalex.org/keywords/image-restoration","display_name":"image restoration","score":0.9980000257492065},{"id":"https://openalex.org/keywords/low-resolution-images","display_name":"low-resolution images","score":0.7829999923706055},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.6050000190734863},{"id":"https://openalex.org/keywords/pretrained-model-weights","display_name":"pretrained model weights","score":0.8820000290870667},{"id":"https://openalex.org/keywords/image-quality-metrics","display_name":"image quality metrics","score":0.7599999904632568},{"id":"https://openalex.org/keywords/psnr","display_name":"PSNR","score":0.9779999852180481}],"concepts":[{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.7376986145973206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.674637496471405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6709176301956177},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6362868547439575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5162920355796814},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5082749724388123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4650871157646179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3493152856826782},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23195064067840576}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.35382/tvujs.14.8.2024.80","doi":"https://doi.org/10.35382/tvujs.14.8.2024.80","is_oa":true,"landing_page_url":"https://doi.org/10.35382/tvujs.14.8.2024.80","pdf_url":null,"source":{"id":"https://openalex.org/S4387281087","display_name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE","issn_l":"2815-6072","issn":["2815-6072","2815-6099"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I913630986","host_organization_name":"Tra Vinh University","host_organization_lineage":["https://openalex.org/I913630986"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.35382/tvujs.14.8.2024.80","doi":"https://doi.org/10.35382/tvujs.14.8.2024.80","is_oa":true,"landing_page_url":"https://doi.org/10.35382/tvujs.14.8.2024.80","pdf_url":null,"source":{"id":"https://openalex.org/S4387281087","display_name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE","issn_l":"2815-6072","issn":["2815-6072","2815-6099"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I913630986","host_organization_name":"Tra Vinh University","host_organization_lineage":["https://openalex.org/I913630986"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2974904990","https://openalex.org/W2365681766","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4406054402"],"abstract_inverted_index":{"This":[0],"article":[1],"addresses":[2],"the":[3,16,45,49,72,80],"challenges":[4],"of":[5,18,48,97,102,108],"image":[6,76],"super-resolution":[7],"and":[8,30,39,52,71,104],"noise":[9,42],"reduction,":[10],"which":[11],"are":[12],"crucial":[13],"for":[14,32],"enhancing":[15],"quality":[17,57,77],"images":[19,35,51,54],"derived":[20],"from":[21,55],"low-resolution":[22,34],"or":[23,58],"noisy":[24],"data.":[25],"Several":[26],"approaches":[27],"were":[28],"compared":[29],"assessed":[31],"upgrading":[33],"to":[36],"higher":[37],"resolutions":[38],"eliminating":[40],"unwanted":[41],"while":[43],"maintaining":[44],"essential":[46],"characteristics":[47],"original":[50],"recovering":[53],"poor":[56],"damaged":[59],"data":[60],"using":[61],"deep":[62],"learning":[63],"models.":[64],"It":[65],"is":[66],"indicated":[67],"by":[68],"research":[69],"analysis":[70],"experimental":[73],"outcomes":[74],"on":[75],"metrics":[78],"that":[79],"ED-Unet":[81],"neural":[82],"network":[83],"model,":[84],"enhanced":[85],"with":[86],"pretrained":[87],"weights,":[88],"significantly":[89],"outperforms":[90],"other":[91],"methods,":[92],"achieving":[93],"a":[94,99,105],"Train":[95],"PSNR":[96,101,107],"30.791,":[98],"Valid":[100],"30.699,":[103],"Test":[106],"31.0172.":[109]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2025-10-10T00:00:00"}
