{"id":"https://openalex.org/W4312509687","doi":"https://doi.org/10.1109/iscas48785.2022.9937894","title":"DSegAN: A Deep Light-weight Segmentation-based Attention Network for Image Restoration","display_name":"DSegAN: A Deep Light-weight Segmentation-based Attention Network for Image Restoration","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312509687","doi":"https://doi.org/10.1109/iscas48785.2022.9937894"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937894","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074650143","display_name":"Alireza Esmaeilzehi","orcid":"https://orcid.org/0000-0002-3625-1608"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alireza Esmaeilzehi","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Quebec,Canada","Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Quebec,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Quebec,Canada","Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Quebec,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013967994","display_name":"M.N.S. Swamy","orcid":"https://orcid.org/0000-0002-3989-5476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M.N.S. Swamy","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Quebec,Canada","Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Quebec,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1284","last_page":"1288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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":0.9983000159263611,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8292573690414429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718820333480835},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7019208073616028},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6841166615486145},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6803412437438965},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6667877435684204},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6334879398345947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5400198101997375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5370079278945923},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5062917470932007},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46983784437179565},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.45577362179756165},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4517086446285248},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4490051865577698},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.44825315475463867},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3925153315067291},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08608642220497131},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.047052353620529175}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8292573690414429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718820333480835},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7019208073616028},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6841166615486145},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6803412437438965},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6667877435684204},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6334879398345947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5400198101997375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5370079278945923},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5062917470932007},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46983784437179565},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.45577362179756165},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4517086446285248},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4490051865577698},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.44825315475463867},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3925153315067291},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08608642220497131},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.047052353620529175},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937894","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2607041014","https://openalex.org/W2741137940","https://openalex.org/W2752782242","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2947156405","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2963645458","https://openalex.org/W2963729050","https://openalex.org/W2963814095","https://openalex.org/W2963986095","https://openalex.org/W2964125708","https://openalex.org/W2976718572","https://openalex.org/W3013529009","https://openalex.org/W3091128821","https://openalex.org/W3104028135","https://openalex.org/W3133531783","https://openalex.org/W3150396707","https://openalex.org/W3151671170","https://openalex.org/W3212325172","https://openalex.org/W6727340567","https://openalex.org/W6749012761","https://openalex.org/W6749061506","https://openalex.org/W6753074096","https://openalex.org/W6754405603","https://openalex.org/W6758061364","https://openalex.org/W6763194991","https://openalex.org/W6803536397"],"related_works":["https://openalex.org/W2739874619","https://openalex.org/W2546942002","https://openalex.org/W3152929143","https://openalex.org/W2534909612","https://openalex.org/W3044651058","https://openalex.org/W2903793793","https://openalex.org/W2951798667","https://openalex.org/W3214851576","https://openalex.org/W2106595108","https://openalex.org/W4312509687"],"abstract_inverted_index":{"Feature":[0],"attention":[1,57],"is":[2,62,82,94],"a":[3,12,37,54],"technique":[4],"used":[5],"in":[6,19,42,97],"deep":[7],"neural":[8],"networks":[9,116],"to":[10],"provide":[11],"discriminative":[13],"processing":[14],"of":[15,70,101],"the":[16,28,44,49,59,65,71,75,99,102,111],"various":[17],"regions":[18],"an":[20],"image":[21,29,39,72,107,114],"based":[22],"on":[23,117],"their":[24],"significance":[25],"for":[26,78,90],"enhancing":[27,98],"restoration":[30,40,108,115],"performance.":[31],"In":[32],"this":[33,86],"paper,":[34],"we":[35],"develop":[36],"novel":[38],"network,":[41],"which":[43],"feature":[45,56,92],"maps":[46,93],"extracted":[47],"by":[48,64],"network":[50,109],"are":[51],"recalibrated":[52],"using":[53,85],"pixel-wise":[55],"and":[58,67],"recalibration":[60],"process":[61],"guided":[63],"structural":[66],"textural":[68],"information":[69],"resulting":[73],"from":[74],"Otsu\u2019s":[76],"method":[77],"its":[79],"segmentation.":[80],"It":[81],"shown":[83],"that":[84],"segmentation":[87],"guidance":[88],"strategy":[89],"recalibrating":[91],"indeed":[95],"helpful":[96],"quality":[100],"restored":[103],"images.":[104],"The":[105],"proposed":[106],"outperforms":[110],"state-of-the-art":[112],"light-weight":[113],"benchmark":[118],"datasets.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
