{"id":"https://openalex.org/W2353687385","doi":"https://doi.org/10.1109/icics.2015.7459954","title":"Colorization-based image coding based on superpixel","display_name":"Colorization-based image coding based on superpixel","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2353687385","doi":"https://doi.org/10.1109/icics.2015.7459954","mag":"2353687385"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2015.7459954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2015.7459954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Conference on Information, Communications and Signal Processing (ICICS)","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/A5112110417","display_name":"Shoji Sakamoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shoji Sakamoto","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Kanagawa, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052510171","display_name":"Takanori Fujisawa","orcid":"https://orcid.org/0000-0001-7632-5846"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takanori Fujisawa","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Kanagawa, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090181402","display_name":"Masaaki Ikehara","orcid":"https://orcid.org/0000-0003-3461-1507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masaaki Ikehara","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Kanagawa, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50010238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2005","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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/chrominance","display_name":"Chrominance","score":0.9931137561798096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.778121829032898},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.7609211206436157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7032123804092407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647077798843384},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5686085820198059},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5302369594573975},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5051167607307434},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4806869924068451},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43609875440597534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3606482446193695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2745800316333771}],"concepts":[{"id":"https://openalex.org/C163204269","wikidata":"https://www.wikidata.org/wiki/Q355263","display_name":"Chrominance","level":3,"score":0.9931137561798096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.778121829032898},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.7609211206436157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7032123804092407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647077798843384},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5686085820198059},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5302369594573975},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5051167607307434},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4806869924068451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43609875440597534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3606482446193695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2745800316333771},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2015.7459954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2015.7459954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Conference on Information, Communications and Signal Processing (ICICS)","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":13,"referenced_works":["https://openalex.org/W1974473400","https://openalex.org/W1975141665","https://openalex.org/W2004259890","https://openalex.org/W2047709431","https://openalex.org/W2098183976","https://openalex.org/W2115881237","https://openalex.org/W2118246710","https://openalex.org/W2136154655","https://openalex.org/W2531988230","https://openalex.org/W4378446536","https://openalex.org/W6643836682","https://openalex.org/W6728645250","https://openalex.org/W6852822164"],"related_works":["https://openalex.org/W2005759937","https://openalex.org/W1799575154","https://openalex.org/W2034025452","https://openalex.org/W3204377033","https://openalex.org/W2112392814","https://openalex.org/W2009194336","https://openalex.org/W2051148592","https://openalex.org/W2966759666","https://openalex.org/W2914041582","https://openalex.org/W1972619763"],"abstract_inverted_index":{"This":[0,10,93],"paper":[1],"proposes":[2],"a":[3,51,105],"novel":[4],"colorization-based":[5],"color":[6,38],"image":[7,15,39,76],"coding":[8,40],"method.":[9],"method":[11],"segments":[12,18],"an":[13],"input":[14],"into":[16],"small":[17],"called":[19],"superpixels":[20],"and":[21,58,73],"restores":[22],"the":[23,29,55,59,68,74,82,90,99,102,116,123],"chrominance":[24,60,100],"of":[25,32,37,70],"each":[26],"superpixel":[27],"as":[28],"linear":[30,106],"transformation":[31],"its":[33],"luminance.":[34],"A":[35],"lot":[36],"methods":[41,49,65],"using":[42,104],"colorization":[43],"have":[44],"been":[45],"proposed,":[46],"but":[47],"no":[48],"utilize":[50],"local":[52,71],"correlation":[53],"between":[54],"luminance":[56,103],"component":[57,61],"effectively.":[62],"Therefore":[63],"conventional":[64,124],"cannot":[66],"recover":[67],"information":[69],"variation":[72],"output":[75],"becomes":[77],"excessively":[78],"smoothed.":[79],"We":[80],"introduce":[81],"region":[83],"segmentation":[84,94],"to":[85,97],"suppress":[86],"large":[87],"fluctuations":[88],"in":[89],"segmented":[91],"area.":[92],"makes":[95],"possible":[96],"restore":[98],"from":[101],"transformation.":[107],"The":[108],"simulation":[109],"with":[110],"some":[111],"standard":[112],"images":[113],"shows":[114],"that":[115],"framework":[117],"actually":[118],"performs":[119],"better":[120],"result":[121],"than":[122],"algorithms":[125],"based":[126],"on":[127],"JPEG.":[128]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}