{"id":"https://openalex.org/W2100036500","doi":"https://doi.org/10.1109/icip.2009.5413744","title":"On the use of color appearance modeling for efficient compressed-domain image enhancement","display_name":"On the use of color appearance modeling for efficient compressed-domain image enhancement","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2100036500","doi":"https://doi.org/10.1109/icip.2009.5413744","mag":"2100036500"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th 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/A5091445175","display_name":"Maria Chatzigiorgaki","orcid":null},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Maria Chatzigiorgaki","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece","School of Science and Technology, Hellenic Open University, 26222 Patras, Greece"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]},{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, 26222 Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009555116","display_name":"Athanassios Skodras","orcid":"https://orcid.org/0000-0002-3872-4325"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athanassios N. Skodras","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece","School of Science and Technology, Hellenic Open University, 26222 Patras, Greece"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]},{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, 26222 Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091445175"],"corresponding_institution_ids":["https://openalex.org/I231025917"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13213097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1657","last_page":"1660"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.7274140119552612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6817387342453003},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6814148426055908},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6736367344856262},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6707218289375305},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6468563675880432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5542214512825012},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5173068046569824},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5033065676689148},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.4623301029205322},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.44776755571365356},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4281509816646576},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3687095642089844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3487575650215149},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3463296890258789},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3031591475009918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21393218636512756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274140119552612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6817387342453003},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6814148426055908},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6736367344856262},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6707218289375305},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6468563675880432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5542214512825012},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5173068046569824},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5033065676689148},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.4623301029205322},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44776755571365356},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4281509816646576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3687095642089844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3487575650215149},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3463296890258789},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3031591475009918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21393218636512756},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2040605691","https://openalex.org/W2042127890","https://openalex.org/W2087401004","https://openalex.org/W2096702704","https://openalex.org/W2107476778","https://openalex.org/W2111016950","https://openalex.org/W2133665775","https://openalex.org/W2148912807","https://openalex.org/W2154408267","https://openalex.org/W2159269332","https://openalex.org/W2170551850","https://openalex.org/W4242806664","https://openalex.org/W4253920039","https://openalex.org/W6724364412"],"related_works":["https://openalex.org/W2137224175","https://openalex.org/W1597187555","https://openalex.org/W2614249221","https://openalex.org/W2997133669","https://openalex.org/W2108294500","https://openalex.org/W2158017498","https://openalex.org/W1830945637","https://openalex.org/W2078566741","https://openalex.org/W2809734899","https://openalex.org/W1964581525"],"abstract_inverted_index":{"In":[0,62],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,49,69,86,126,132],"compressed-domain":[6],"image":[7,24,93],"enhancement":[8,25],"algorithm":[9,72,137],"based":[10],"on":[11],"color":[12,23,30,53],"appearance":[13,54],"modeling.":[14],"We":[15],"aim":[16],"at":[17,131],"providing":[18],"an":[19,59],"efficient":[20,60],"high-quality":[21],"JPEG":[22],"algorithm,":[26],"in":[27,58,85,95],"terms":[28],"of":[29,52,81,90,111,114,120],"boosting":[31],"and":[32],"low":[33],"computational":[34,67],"cost.":[35],"For":[36],"that":[37],"purpose,":[38],"the":[39,66,76,91,96,100,109,121,146],"high-performance":[40],"recently":[41],"proposed":[42,136],"iCAM06":[43,101],"model":[44,102],"has":[45],"been":[46],"adopted,":[47],"where":[48,99],"wide":[50],"range":[51],"phenomena":[55],"are":[56,124],"predicted":[57],"manner.":[61],"order":[63],"to":[64,75],"reduce":[65],"complexity,":[68],"pseudo-pixel":[70],"extraction":[71],"is":[73,103,129,143],"applied":[74],"four":[77],"low-frequency":[78],"DCT":[79,97,122],"coefficients":[80,123],"each":[82],"block,":[83],"resulting":[84],"scaled":[87],"RGB":[88],"version":[89],"input":[92],"(directly":[94],"domain),":[98],"then":[104],"applied.":[105],"To":[106],"cope":[107],"with":[108],"problem":[110],"inadequate":[112],"information":[113],"small-sized":[115],"images,":[116],"as":[117,141],"only":[118],"6.25%":[119],"used,":[125],"2-fold":[127],"upsampling":[128],"performed":[130],"preprocessing":[133],"stage.":[134],"The":[135],"outperforms":[138],"relevant":[139],"methods,":[140],"it":[142],"validated":[144],"by":[145],"comparative":[147],"results.":[148]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}