{"id":"https://openalex.org/W3123155253","doi":"https://doi.org/10.1109/tip.2021.3053369","title":"SSIM Compliant Modeling Framework With Denoising and Deblurring Applications","display_name":"SSIM Compliant Modeling Framework With Denoising and Deblurring Applications","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3123155253","doi":"https://doi.org/10.1109/tip.2021.3053369","mag":"3123155253","pmid":"https://pubmed.ncbi.nlm.nih.gov/33502978"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3053369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3053369","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Rajesh Bhatt","orcid":"https://orcid.org/0000-0003-4028-600X"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh Bhatt","raw_affiliation_strings":["IIT Kanpur, Kanpur, India"],"raw_orcid":"https://orcid.org/0000-0003-4028-600X","affiliations":[{"raw_affiliation_string":"IIT Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025472642","display_name":"Naren Naik","orcid":"https://orcid.org/0000-0003-2726-3399"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Naren Naik","raw_affiliation_strings":["IIT Kanpur, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101741116","display_name":"Venkatesh K. Subramanian","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkatesh K. Subramanian","raw_affiliation_strings":["IIT Kanpur, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":2.5439,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.91103953,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"2611","last_page":"2626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"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/deblurring","display_name":"Deblurring","score":0.954418420791626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222434639930725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5799817442893982},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5724713802337646},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5421460866928101},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5099548101425171},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4999368190765381},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4902251362800598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4885593354701996},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4539501368999481},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4111570715904236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34919047355651855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3353542685508728},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.26535385847091675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26387959718704224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23986420035362244}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.954418420791626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222434639930725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5799817442893982},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5724713802337646},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5421460866928101},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5099548101425171},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4999368190765381},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4902251362800598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4885593354701996},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4539501368999481},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4111570715904236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34919047355651855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3353542685508728},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.26535385847091675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26387959718704224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23986420035362244},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3053369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3053369","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:33502978","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33502978","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W4134953","https://openalex.org/W1485262465","https://openalex.org/W1520511539","https://openalex.org/W1554944419","https://openalex.org/W1563899710","https://openalex.org/W1569098853","https://openalex.org/W1579559187","https://openalex.org/W1581676061","https://openalex.org/W1591116419","https://openalex.org/W1607704809","https://openalex.org/W1669104078","https://openalex.org/W1901129140","https://openalex.org/W1907847775","https://openalex.org/W1967956032","https://openalex.org/W1971155098","https://openalex.org/W1973175507","https://openalex.org/W1973207880","https://openalex.org/W1978749115","https://openalex.org/W1992201949","https://openalex.org/W1992405901","https://openalex.org/W1992869494","https://openalex.org/W1998419211","https://openalex.org/W2005001434","https://openalex.org/W2009272644","https://openalex.org/W2013422999","https://openalex.org/W2016278923","https://openalex.org/W2035713052","https://openalex.org/W2038596520","https://openalex.org/W2039487641","https://openalex.org/W2051596736","https://openalex.org/W2054640142","https://openalex.org/W2056370875","https://openalex.org/W2069959554","https://openalex.org/W2085518012","https://openalex.org/W2091408824","https://openalex.org/W2093545205","https://openalex.org/W2093559072","https://openalex.org/W2095116634","https://openalex.org/W2097074225","https://openalex.org/W2099474155","https://openalex.org/W2103882108","https://openalex.org/W2105464873","https://openalex.org/W2109320267","https://openalex.org/W2111308925","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2126226185","https://openalex.org/W2128638419","https://openalex.org/W2129644086","https://openalex.org/W2133059825","https://openalex.org/W2133665775","https://openalex.org/W2145889472","https://openalex.org/W2150734399","https://openalex.org/W2153663612","https://openalex.org/W2159372562","https://openalex.org/W2163112044","https://openalex.org/W2164452299","https://openalex.org/W2165445997","https://openalex.org/W2266853722","https://openalex.org/W2288174618","https://openalex.org/W2296616510","https://openalex.org/W2508457857","https://openalex.org/W2539781702","https://openalex.org/W2602068680","https://openalex.org/W2799450452","https://openalex.org/W2805527823","https://openalex.org/W2925010556","https://openalex.org/W2953139536","https://openalex.org/W2965941335","https://openalex.org/W2967641264","https://openalex.org/W3104720471","https://openalex.org/W3215186461","https://openalex.org/W4205213118","https://openalex.org/W4211253871","https://openalex.org/W4235713725","https://openalex.org/W4250955649","https://openalex.org/W4298090677","https://openalex.org/W4301014524","https://openalex.org/W6629134395","https://openalex.org/W6639824700","https://openalex.org/W6678757208","https://openalex.org/W7075704521"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W2066613488","https://openalex.org/W791927757","https://openalex.org/W2315427282","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"In":[0],"image":[1,16,192],"processing,":[2],"it":[3,67,204],"is":[4,12,53,68,99,164,180],"well":[5],"known":[6],"that":[7,208],"mean":[8],"square":[9],"error":[10],"criteria":[11],"perceptually":[13],"inadequate.":[14],"Consequently,":[15],"quality":[17,62],"assessment":[18],"(IQA)":[19],"has":[20,32,124,205],"emerged":[21],"as":[22,78,127,151],"a":[23,117,128,139,146,152],"new":[24],"branch":[25],"to":[26,34,59,70,100,218],"overcome":[27],"this":[28,31,88,91,97],"issue,":[29],"and":[30,108,169,194,223,233],"led":[33],"the":[35,40,46,61,84,113,136,175,184,197,200,209],"discovery":[36],"of":[37,39,63,87,115,130,138,154,187,199,231],"one":[38],"most":[41],"popular":[42],"perceptual":[43],"measures,":[44],"namely,":[45],"structural":[47],"similarity":[48],"index":[49],"(SSIM).":[50],"This":[51,157],"measure":[52,89],"mathematically":[54],"simple,":[55],"yet":[56],"powerful":[57],"enough":[58],"express":[60],"an":[64,131,177],"image.":[65],"Therefore,":[66],"natural":[69,227],"deploy":[71],"SSIM":[72,232],"in":[73,96,112,167,221,226,229],"model":[74],"based":[75,182],"applications,":[76],"such":[77],"denoising,":[79],"restoration,":[80],"classification,":[81],"etc.":[82],"However,":[83],"non-convex":[85],"nature":[86,186],"makes":[90],"task":[92],"difficult.":[93],"Our":[94],"attempt":[95],"work":[98],"discuss":[101],"problems":[102],"associated":[103],"with":[104,161,216],"its":[105],"convex":[106,119],"program":[107],"take":[109],"remedial":[110],"action":[111],"process":[114],"obtaining":[116],"generalized":[118],"framework.":[120],"The":[121],"obtained":[122],"framework":[123,211],"been":[125,206],"seen":[126],"component":[129],"alternative":[132,155,158],"learning":[133,149,159],"scheme":[134,160,179],"for":[135],"case":[137],"regularized":[140],"linear":[141],"model.":[142],"Subsequently,":[143],"we":[144],"develop":[145],"relevant":[147],"dictionary":[148],"module":[150],"part":[153],"learning.":[156],"sparsity":[162],"prior":[163],"finally":[165],"used":[166],"denoising":[168,193],"deblurring":[170,195],"applications.":[171],"To":[172],"further":[173],"boost":[174],"performance,":[176],"iterative":[178],"developed":[181],"on":[183,191],"statistical":[185],"added":[188],"noise.":[189],"Experiments":[190],"validate":[196],"effectiveness":[198],"proposed":[201,210],"scheme.":[202],"Furthermore,":[203],"shown":[207],"achieves":[212],"highly":[213],"competitive":[214],"performance":[215],"respect":[217],"other":[219],"schemes":[220],"literature":[222],"performs":[224],"better":[225],"images":[228],"terms":[230],"visual":[234],"inspection.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}