{"id":"https://openalex.org/W2512490024","doi":"https://doi.org/10.1109/icip.2016.7533127","title":"Group-based sparse representation for low lighting image enhancement","display_name":"Group-based sparse representation for low lighting image enhancement","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2512490024","doi":"https://doi.org/10.1109/icip.2016.7533127","mag":"2512490024"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5035197326","display_name":"Wuzhen Shi","orcid":"https://orcid.org/0000-0002-6819-0125"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wuzhen Shi","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604556","display_name":"Congcong Chen","orcid":"https://orcid.org/0000-0002-1716-1332"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congcong Chen","raw_affiliation_strings":["School of Electrical and information, Northeast Agricultural University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and information, Northeast Agricultural University, Harbin, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054864573","display_name":"Feng Jiang","orcid":"https://orcid.org/0000-0001-8342-1211"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600353","display_name":"Debin Zhao","orcid":"https://orcid.org/0000-0003-3434-9967"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debin Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086790376","display_name":"Weizheng Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizheng Shen","raw_affiliation_strings":["School of Electrical and information, Northeast Agricultural University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and information, Northeast Agricultural University, Harbin, China","institution_ids":["https://openalex.org/I169572211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035197326"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.0399,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83423676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4082","last_page":"4086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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/sparse-approximation","display_name":"Sparse approximation","score":0.6497033834457397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6425102353096008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5719199776649475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5659739971160889},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5028059482574463},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48537003993988037}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6497033834457397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6425102353096008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5719199776649475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659739971160889},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5028059482574463},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48537003993988037},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7099999785423279,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1990592195","https://openalex.org/W2045737896","https://openalex.org/W2068403421","https://openalex.org/W2109616376","https://openalex.org/W2114867966","https://openalex.org/W2116899452","https://openalex.org/W2121880036","https://openalex.org/W2125188192","https://openalex.org/W2185747943","https://openalex.org/W4252054347","https://openalex.org/W6647720530","https://openalex.org/W6666881064","https://openalex.org/W6686084178"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,60],"Group-based":[1],"Sparse":[2],"Representation":[3],"(GSR)":[4],"is":[5,62,87],"able":[6],"to":[7,55,65],"sparsely":[8],"represent":[9,66],"natural":[10,68],"images":[11,27,69,125],"in":[12,29],"the":[13,19,34,48,67,73,77,84,91,96,104,120,123,144],"domain":[14],"of":[15,26,50,76,122],"group,":[16],"which":[17],"enforces":[18],"intrinsic":[20],"local":[21],"sparsity":[22],"and":[23,80],"nonlocal":[24],"self-similarity":[25],"simultaneously":[28],"a":[30,110,148],"unified":[31],"framework.":[32],"And":[33],"GSR-driven":[35],"L0":[36],"minimization":[37],"method":[38,102,146],"for":[39,90],"image":[40,53,58,79,94,141],"restoration":[41,54],"has":[42],"been":[43],"proposed.":[44],"This":[45],"paper":[46],"expands":[47],"application":[49],"GSR":[51,61],"from":[52,115],"low":[56,92,139],"lighting":[57,93,140],"enhancement.":[59],"not":[63,126],"used":[64],"anymore,":[70],"but":[71,131],"representing":[72],"transmission":[74,85,106],"map":[75,86,107],"haze":[78],"recovering":[81],"it.":[82],"Because":[83],"very":[88],"important":[89],"enhancement,":[95],"dark":[97],"channel":[98],"prior":[99],"based":[100],"enhancement":[101,150],"with":[103],"enhanced":[105,112,124],"can":[108],"get":[109],"better":[111,149],"results.":[113,135],"Different":[114],"other":[116],"methods,":[117],"we":[118],"evaluate":[119],"quality":[121],"only":[127],"by":[128,133],"qualitative":[129],"analysis":[130],"also":[132],"quantitative":[134],"Extensive":[136],"experiments":[137],"on":[138],"show":[142],"that":[143],"GSR-based":[145],"gets":[147],"result":[151],"than":[152],"many":[153],"current":[154],"state-of-the-art":[155],"ones.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}