{"id":"https://openalex.org/W4389474652","doi":"https://doi.org/10.1109/mmsp59012.2023.10337679","title":"Measuring Underwater Image Quality with Depthwise-Separable Convolutions and Global-Sparse Attention","display_name":"Measuring Underwater Image Quality with Depthwise-Separable Convolutions and Global-Sparse Attention","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4389474652","doi":"https://doi.org/10.1109/mmsp59012.2023.10337679"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp59012.2023.10337679","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"article","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/A5010677621","display_name":"Arpita Nema","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arpita Nema","raw_affiliation_strings":["IIT Jammu,Computer Science and Engineering,Jammu,India","Computer Science and Engineering, IIT Jammu, Jammu, India"],"affiliations":[{"raw_affiliation_string":"IIT Jammu,Computer Science and Engineering,Jammu,India","institution_ids":["https://openalex.org/I4210127441"]},{"raw_affiliation_string":"Computer Science and Engineering, IIT Jammu, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019388627","display_name":"Vinit Jakhetiya","orcid":"https://orcid.org/0000-0002-8325-4908"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinit Jakhetiya","raw_affiliation_strings":["IIT Jammu,Computer Science and Engineering,Jammu,India","Computer Science and Engineering, IIT Jammu, Jammu, India"],"affiliations":[{"raw_affiliation_string":"IIT Jammu,Computer Science and Engineering,Jammu,India","institution_ids":["https://openalex.org/I4210127441"]},{"raw_affiliation_string":"Computer Science and Engineering, IIT Jammu, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076107180","display_name":"Sunil Jaiswal","orcid":"https://orcid.org/0000-0003-1263-8434"},"institutions":[{"id":"https://openalex.org/I4210106350","display_name":"Centre Hospitalier de Lens","ror":"https://ror.org/01fbc7819","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210106350"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sunil Jaiswal","raw_affiliation_strings":["K Lens,Germany","K Lens, Germany"],"affiliations":[{"raw_affiliation_string":"K Lens,Germany","institution_ids":["https://openalex.org/I4210106350"]},{"raw_affiliation_string":"K Lens, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113066224","display_name":"Subudhi Badri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subudhi Badri","raw_affiliation_strings":["IIT Jammu,Computer Science and Engineering,Jammu,India","Computer Science and Engineering, IIT Jammu, Jammu, India"],"affiliations":[{"raw_affiliation_string":"IIT Jammu,Computer Science and Engineering,Jammu,India","institution_ids":["https://openalex.org/I4210127441"]},{"raw_affiliation_string":"Computer Science and Engineering, IIT Jammu, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010646067","display_name":"Sharath Chandra Guntuku","orcid":"https://orcid.org/0000-0002-2929-0035"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharath Chandra Guntuku","raw_affiliation_strings":["University of Pennsylvania,Computer and Information Science","Computer and Information Science, University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania,Computer and Information Science","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Computer and Information Science, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010677621"],"corresponding_institution_ids":["https://openalex.org/I4210127441"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16579851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7365114688873291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166543006896973},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6617915630340576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6056389212608337},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.5979713201522827},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5417426824569702},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46534571051597595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46470633149147034},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4388744533061981},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37467673420906067},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33627039194107056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1567484736442566},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0909641683101654}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7365114688873291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166543006896973},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6617915630340576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6056389212608337},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.5979713201522827},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5417426824569702},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46534571051597595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46470633149147034},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4388744533061981},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37467673420906067},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33627039194107056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1567484736442566},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0909641683101654},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp59012.2023.10337679","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2061513831","https://openalex.org/W2102166818","https://openalex.org/W2133665775","https://openalex.org/W2181646778","https://openalex.org/W2474516010","https://openalex.org/W2531409750","https://openalex.org/W2771986438","https://openalex.org/W2896261175","https://openalex.org/W2903193781","https://openalex.org/W2953333557","https://openalex.org/W2963975576","https://openalex.org/W2964065910","https://openalex.org/W3006233221","https://openalex.org/W3014182430","https://openalex.org/W3035719652","https://openalex.org/W3109016160","https://openalex.org/W3135971978","https://openalex.org/W3169767072","https://openalex.org/W3176622443","https://openalex.org/W3194293177","https://openalex.org/W4224267514","https://openalex.org/W4226213342","https://openalex.org/W4297775537","https://openalex.org/W4312818079","https://openalex.org/W4313138720","https://openalex.org/W4313170858","https://openalex.org/W6737664043","https://openalex.org/W6765069029","https://openalex.org/W6843218176"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W2009525028","https://openalex.org/W1999583034","https://openalex.org/W4321064619","https://openalex.org/W3217214504","https://openalex.org/W3168963531","https://openalex.org/W2591930867","https://openalex.org/W2953138830","https://openalex.org/W2773822314","https://openalex.org/W3176162126"],"abstract_inverted_index":{"Underwater":[0,25],"Image":[1],"Quality":[2],"Assessment":[3],"(UIQA)":[4],"poses":[5],"specific":[6],"challenges":[7],"due":[8],"to":[9,92,132],"blur,":[10],"dispersion":[11],"of":[12,67,103,121],"light,":[13],"and":[14,36,54,74,85],"color":[15],"garbling":[16],"caused":[17],"by":[18,23,135],"water":[19],"turbulence.":[20],"Images":[21],"captured":[22],"Autonomous":[24],"Vehicles":[26],"(AVS)":[27],"correlate":[28],"poorly":[29],"along":[30],"their":[31],"RGB":[32],"channels,":[33],"as":[34,69,71],"blue":[35],"green":[37],"channel":[38],"components":[39],"dominate.":[40],"We":[41],"propose":[42],"a":[43,122],"novel":[44],"lightweight":[45],"no-reference":[46],"(NR)":[47],"UIQA":[48],"architecture":[49],"based":[50],"on":[51],"depthwise-separable":[52],"convolutions":[53,106,128,134],"global":[55],"sparse":[56],"attention":[57],"that":[58],"surpasses":[59],"the":[60,101,119],"existing":[61],"deep":[62],"learning":[63],"architectures":[64],"in":[65,83,88,90],"terms":[66],"performance":[68],"well":[70],"parameter":[72],"count":[73],"Multiply-Accumulate":[75],"operations":[76],"(MACs).":[77],"Proposed":[78],"model":[79],"gives":[80],"3.64%":[81],"increase":[82,87],"SRCC":[84],"6.11%":[86],"PLCC":[89],"comparison":[91],"state-of-the-art":[93],"for":[94,107],"UEQAB":[95],"dataset.":[96],"Our":[97,112],"work":[98],"also":[99],"illustrates":[100],"effectiveness":[102],"depthwise":[104,126],"separable":[105,127],"underwater":[108],"image":[109],"quality":[110],"assessment.":[111],"empirical":[113],"analysis":[114],"confirms":[115],"less":[116],"redundancy":[117],"among":[118],"channels":[120],"feature":[123],"map":[124],"when":[125],"are":[129],"used":[130],"compared":[131],"standard":[133],"increasing":[136],"representational":[137],"efficiency.":[138]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
