{"id":"https://openalex.org/W2800977288","doi":"https://doi.org/10.1145/3195588.3195606","title":"Multi-focus Color Image Fusion Scheme Using NSST and Focus Region Detection","display_name":"Multi-focus Color Image Fusion Scheme Using NSST and Focus Region Detection","publication_year":2018,"publication_date":"2018-03-16","ids":{"openalex":"https://openalex.org/W2800977288","doi":"https://doi.org/10.1145/3195588.3195606","mag":"2800977288"},"language":"en","primary_location":{"id":"doi:10.1145/3195588.3195606","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3195588.3195606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Multimedia and Image Processing","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/A5101906482","display_name":"Ruichao Hou","orcid":"https://orcid.org/0000-0001-8111-7339"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichao Hou","raw_affiliation_strings":["Information College, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information College, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069672411","display_name":"Dongming Zhou","orcid":"https://orcid.org/0000-0003-0139-9415"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongming Zhou","raw_affiliation_strings":["Information College, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information College, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080341760","display_name":"Rencan Nie","orcid":"https://orcid.org/0000-0003-0568-1231"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rencan Nie","raw_affiliation_strings":["Information College, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information College, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407437","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0002-4095-7531"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["Information College, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information College, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9980000257492065,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7768898010253906},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7653776407241821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748270988464355},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6655716896057129},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.645474374294281},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6302096247673035},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6233817934989929},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5996847748756409},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5583751797676086},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5146228075027466},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5059298872947693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4911608397960663},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4816133379936218},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4784959852695465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23209744691848755},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21979734301567078},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.051627665758132935}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7768898010253906},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7653776407241821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748270988464355},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6655716896057129},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.645474374294281},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6302096247673035},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6233817934989929},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5996847748756409},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5583751797676086},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5146228075027466},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5059298872947693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4911608397960663},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4816133379936218},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4784959852695465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23209744691848755},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21979734301567078},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.051627665758132935},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3195588.3195606","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3195588.3195606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Multimedia and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1979211583","https://openalex.org/W1994616697","https://openalex.org/W2035773017","https://openalex.org/W2039608780","https://openalex.org/W2043359668","https://openalex.org/W2047779467","https://openalex.org/W2086658192","https://openalex.org/W2114147619","https://openalex.org/W2122676258","https://openalex.org/W2131168375","https://openalex.org/W2295475768","https://openalex.org/W2432912172","https://openalex.org/W2575164965","https://openalex.org/W2735436330"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Aimed":[0],"at":[1,13],"low":[2],"contrast,":[3],"color":[4,22,31,131],"distortion,":[5],"loss":[6],"of":[7,15,52,152],"edge":[8,51],"details":[9],"and":[10,41,83,88,99,102,143,150,160],"discontinuous":[11],"phenomenon":[12],"border":[14],"focused":[16],"region":[17,101],"problems":[18],"in":[19,155],"the":[20,49,53,58,67,75,80,84,91,97,103,113,126,130,138],"existing":[21,148],"image":[23,32,61,127],"fusion":[24,33,60,86],"methods,":[25],"this":[26],"paper":[27],"proposes":[28],"a":[29,164],"novel":[30],"scheme":[34,140],"by":[35,64,120],"using":[36,121],"nonsubsampled":[37],"shearlet":[38],"transform":[39],"(NSST)":[40],"k":[42],"nearest":[43],"neighbors":[44],"(KNN)":[45],"matting":[46],"which":[47,106],"preserve":[48],"fine":[50,115],"decision":[54,116],"map":[55,117],"fully.":[56],"Firstly,":[57],"primitive":[59,85],"is":[62,118],"obtained":[63,119],"NSST.":[65],"Secondly,":[66],"structural":[68,76],"similarity":[69,77],"maps":[70],"are":[71],"drawn":[72],"according":[73],"to":[74,95,163],"relationship":[78],"between":[79],"source":[81],"images":[82],"image,":[87],"then":[89],"utilizing":[90],"mathematical":[92],"morphology":[93],"operation":[94],"detect":[96],"focus":[98],"defocus":[100],"unknown":[104],"region,":[105],"can":[107],"build":[108],"an":[109],"accurate":[110],"trimap,":[111],"so":[112],"final":[114],"KNN":[122],"matting.":[123],"Finally":[124],"reconstruct":[125],"based":[128],"on":[129],"combination":[132],"equation.":[133],"Experimental":[134],"results":[135],"indicate":[136],"that":[137],"proposed":[139],"performs":[141],"well":[142],"has":[144],"superiorities":[145],"over":[146],"other":[147],"typical":[149],"state":[151],"art":[153],"ones":[154],"both":[156],"subjective":[157],"visual":[158],"performance":[159],"objective":[161],"criteria":[162],"certain":[165],"extent.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
