{"id":"https://openalex.org/W4417147017","doi":"https://doi.org/10.48084/etasr.14469","title":"A Multi-Stage Deep Learning Model for the Enhancement of the Quality of Camera-Captured Document Images","display_name":"A Multi-Stage Deep Learning Model for the Enhancement of the Quality of Camera-Captured Document Images","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W4417147017","doi":"https://doi.org/10.48084/etasr.14469"},"language":"en","primary_location":{"id":"doi:10.48084/etasr.14469","doi":"https://doi.org/10.48084/etasr.14469","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.14469","pdf_url":"https://etasr.com/index.php/ETASR/article/download/14469/5952","source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology &amp; Applied Science Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://etasr.com/index.php/ETASR/article/download/14469/5952","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pushplata Dubey","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pushplata Dubey","raw_affiliation_strings":["Department of Computer Science and Engineering, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India | Visvesvaraya Technological University, Belagavi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India | Visvesvaraya Technological University, Belagavi, India","institution_ids":["https://openalex.org/I65674248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083442352","display_name":"Dandinashivara Revanna Shashikumar","orcid":"https://orcid.org/0009-0007-6807-8161","observed_orcids":["https://orcid.org/0009-0007-6807-8161"]},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. R. Shashikumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India | Visvesvaraya Technological University, Belagavi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India | Visvesvaraya Technological University, Belagavi, India","institution_ids":["https://openalex.org/I65674248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65674248"],"apc_list":{"value":400,"currency":"EUR","value_usd":431},"apc_paid":{"value":400,"currency":"EUR","value_usd":431},"fwci":0.473,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54082049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"15","issue":"6","first_page":"29964","last_page":"29970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.43700000643730164,"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/T11019","display_name":"Image Enhancement Techniques","score":0.43700000643730164,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.3244999945163727,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.21410000324249268,"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/document-image-enhancement","display_name":"document image enhancement","score":0.9800000190734863},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.8159999847412109},{"id":"https://openalex.org/keywords/image-deblurring","display_name":"image deblurring","score":0.875},{"id":"https://openalex.org/keywords/motion-blur","display_name":"motion blur","score":0.7870000004768372},{"id":"https://openalex.org/keywords/non-uniform-illumination","display_name":"non-uniform illumination","score":0.9399999976158142},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"optical character recognition","score":0.6809999942779541},{"id":"https://openalex.org/keywords/digital-archiving","display_name":"digital archiving","score":0.9150000214576721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700999975204468},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7483999729156494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7361999750137329},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7138000130653381},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6402000188827515},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6219000220298767},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5857999920845032},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5103999972343445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5008000135421753},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3296000063419342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32739999890327454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29829999804496765},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.28189998865127563},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48084/etasr.14469","doi":"https://doi.org/10.48084/etasr.14469","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.14469","pdf_url":"https://etasr.com/index.php/ETASR/article/download/14469/5952","source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology &amp; Applied Science Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.48084/etasr.14469","doi":"https://doi.org/10.48084/etasr.14469","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.14469","pdf_url":"https://etasr.com/index.php/ETASR/article/download/14469/5952","source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology &amp; Applied Science Research","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417147017.pdf","grobid_xml":"https://content.openalex.org/works/W4417147017.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2047123483","https://openalex.org/W2891158090","https://openalex.org/W2902216184","https://openalex.org/W2981771415","https://openalex.org/W3083907077","https://openalex.org/W3137277224","https://openalex.org/W4247264488","https://openalex.org/W4285234777","https://openalex.org/W4385872044","https://openalex.org/W4387076916","https://openalex.org/W4387245240","https://openalex.org/W4397026442","https://openalex.org/W4402753885","https://openalex.org/W4406860673","https://openalex.org/W4407079271","https://openalex.org/W4410631062"],"related_works":["https://openalex.org/W2500127406","https://openalex.org/W7133679646","https://openalex.org/W4387967972","https://openalex.org/W4404968822","https://openalex.org/W4225596681","https://openalex.org/W4297152526","https://openalex.org/W4383226900","https://openalex.org/W4415759547","https://openalex.org/W7124870374","https://openalex.org/W4312766223"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"a":[3,22],"multistaged":[4],"deep":[5],"learning":[6],"model":[7,20,65,77,109],"aimed":[8],"at":[9],"enhancing":[10],"document":[11,125],"images":[12],"captured":[13,72],"through":[14,61],"handheld":[15],"or":[16],"mobile":[17],"cameras.":[18],"The":[19,75,104],"comprises":[21],"modular":[23],"three-stage":[24],"pipeline":[25],"for":[26,111],"denoising,":[27],"deblurring,":[28],"and":[29,53,80,85,94,100,113,120],"enhancement":[30],"to":[31,42],"progressively":[32,57],"improve":[33],"image":[34,60,73],"clarity.":[35,103],"Each":[36],"stage":[37],"leverages":[38],"pretrained,":[39],"task-specific":[40],"networks":[41],"resolve":[43],"common":[44,68],"degradation":[45],"issues":[46],"such":[47,91],"as":[48,92],"sensor":[49],"noise,":[50],"motion":[51],"blur,":[52],"uneven":[54],"illumination.":[55],"By":[56],"refining":[58],"the":[59,64,108],"these":[62],"stages,":[63],"effectively":[66],"addresses":[67],"degradations":[69],"found":[70],"in":[71],"documents.":[74],"proposed":[76],"was":[78],"trained":[79],"evaluated":[81],"on":[82],"camera-captured":[83],"documents":[84],"compared":[86],"with":[87],"different":[88],"existing":[89],"models,":[90],"GCDRNet":[93],"DocEnTr,":[95],"achieving":[96],"higher":[97],"PSNR":[98],"scores":[99],"improving":[101],"text":[102],"experimental":[105],"results":[106],"render":[107],"ideal":[110],"OCR":[112],"digital":[114],"archiving":[115],"use,":[116],"highlighting":[117],"its":[118],"robustness":[119],"superior":[121],"generalization":[122],"across":[123],"real-world":[124],"conditions.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-12-09T00:00:00"}
