{"id":"https://openalex.org/W2548090210","doi":"https://doi.org/10.1109/icacci.2016.7732335","title":"Soft proofing of images using Bacteria foraging optimization of color gamuts","display_name":"Soft proofing of images using Bacteria foraging optimization of color gamuts","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2548090210","doi":"https://doi.org/10.1109/icacci.2016.7732335","mag":"2548090210"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2016.7732335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5036907460","display_name":"Nayan Malpani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140672","display_name":"Rajasthan Police Academy","ror":"https://ror.org/04mn04g76","country_code":"IN","type":"government","lineage":["https://openalex.org/I4210140672"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nayan Malpani","raw_affiliation_strings":["RCEW Jaipur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RCEW Jaipur","institution_ids":["https://openalex.org/I4210140672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033466047","display_name":"Roshan Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140672","display_name":"Rajasthan Police Academy","ror":"https://ror.org/04mn04g76","country_code":"IN","type":"government","lineage":["https://openalex.org/I4210140672"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Roshan Jain","raw_affiliation_strings":["RCEW Jaipur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RCEW Jaipur","institution_ids":["https://openalex.org/I4210140672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062103092","display_name":"Saurabh Maheshwari","orcid":"https://orcid.org/0000-0003-3638-7545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saurabh Maheshwari","raw_affiliation_strings":["GWEC Ajmer"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GWEC Ajmer","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16676737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1940","last_page":"1946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9876000285148621,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.8116527795791626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7365671396255493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6369410157203674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6347556114196777},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5523404479026794},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5107674598693848},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5092071890830994},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.49968552589416504},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4414439797401428},{"id":"https://openalex.org/keywords/foraging","display_name":"Foraging","score":0.43625518679618835},{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.41052040457725525},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.365298330783844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35563981533050537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32870766520500183}],"concepts":[{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.8116527795791626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365671396255493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6369410157203674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347556114196777},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5523404479026794},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5107674598693848},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5092071890830994},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.49968552589416504},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4414439797401428},{"id":"https://openalex.org/C165287380","wikidata":"https://www.wikidata.org/wiki/Q2916569","display_name":"Foraging","level":2,"score":0.43625518679618835},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.41052040457725525},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.365298330783844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35563981533050537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32870766520500183},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2016.7732335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1967287156","https://openalex.org/W2021223415","https://openalex.org/W2109088709","https://openalex.org/W2336674929","https://openalex.org/W3149732718","https://openalex.org/W6703547527"],"related_works":["https://openalex.org/W2809734899","https://openalex.org/W1981206111","https://openalex.org/W2349299344","https://openalex.org/W2539489883","https://openalex.org/W4302233118","https://openalex.org/W2014997041","https://openalex.org/W2035513807","https://openalex.org/W2167320272","https://openalex.org/W2347655327","https://openalex.org/W2094705558"],"abstract_inverted_index":{"Soft":[0],"proofing":[1,65,125,255],"is":[2,28,47,98,107,148,171,183,193,205,249],"the":[3,14,58,104,110,113,153,165,174,181,267],"method":[4,170,200],"to":[5,30,108,149,164,185,189,219],"visualize":[6],"how":[7],"an":[8,120,143,160],"image":[9,46,60,115,130,162,182,222,273],"will":[10,139],"look":[11],"like":[12,75],"on":[13,23,42,225],"electronic":[15],"display":[16,41],"after":[17,278],"printing":[18],"with":[19,95,173,245],"a":[20,24,44],"particular":[21,45],"printer":[22],"specific":[25],"paper.":[26],"It":[27],"required":[29],"save":[31,36],"unnecessary":[32],"frequent":[33],"prints":[34],"and":[35,79,87,151,215,236,262,271],"paper":[37,118,204],"thus":[38],"money.":[39],"The":[40,93,145,199,229],"which":[43],"presented":[48],"may":[49],"have":[50,83],"support":[51],"for":[52,123,142],"less":[53,207],"number":[54,155,237],"of":[55,71,101,112,126,156,180,195,231,238,253,256,269],"colors":[56,136,158,239],"than":[57],"original":[59,161,270],"has.":[61],"We":[62],"treat":[63],"soft":[64,124,254],"problem":[66,94],"as":[67],"color":[68,114,197,221],"quantization.":[69,116],"Use":[70],"Swarm":[72],"Intelligence":[73],"methods":[74,97],"Ant":[76],"Colony":[77],"Optimization":[78,82],"Bacteria":[80,226],"Foraging":[81,227],"been":[84],"very":[85,206],"efficient":[86,121],"produce":[88],"good":[89],"resultant":[90,241],"quantized":[91],"images.":[92],"these":[96],"their":[99],"complexity":[100,111],"implementation.":[102],"So":[103],"main":[105,146],"target":[106,166],"reduce":[109],"This":[117,248],"proposes":[119],"technique":[122],"images":[127,242,257],"using":[128,258],"bacteria":[129,259],"foraging":[131,260],"optimization":[132,261],"where":[133,177],"frequently":[134],"present":[135],"in":[137,159,202,209,213,217,240],"histogram":[138,234],"be":[140],"selected":[141],"image.":[144],"aim":[147],"minimize":[150],"optimize":[152],"total":[154],"available":[157],"according":[163],"gamut.":[167],"Later":[168],"this":[169,203],"compared":[172,184,244],"older":[175],"strategies":[176],"each":[178],"pixel":[179,188],"every":[186],"other":[187,220],"check":[190],"whether":[191],"it":[192,263],"part":[194],"same":[196],"cluster.":[198],"used":[201],"complex":[208],"performance":[210],"yet":[211],"optimal":[212],"transform":[214],"quantization":[216,223],"comparison":[218,235],"based":[224],"Optimization.":[228],"results":[230],"processing":[232],"time,":[233],"are":[243],"previous":[246],"works.":[247],"first":[250],"ever":[251],"attempt":[252],"also":[264],"ensures":[265],"that":[266],"size":[268],"final":[272],"does":[274],"not":[275],"changes":[276],"even":[277],"low":[279],"resolution":[280],"printing.":[281]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}