{"id":"https://openalex.org/W2246759232","doi":"https://doi.org/10.1109/icnc.2015.7378114","title":"A novel color damaged index of digital images","display_name":"A novel color damaged index of digital images","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2246759232","doi":"https://doi.org/10.1109/icnc.2015.7378114","mag":"2246759232"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2015.7378114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7378114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","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/A5103603931","display_name":"Saili He","orcid":null},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saili He","raw_affiliation_strings":["School of Information Engineering, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001235027","display_name":"Xiuhua Jiang","orcid":"https://orcid.org/0000-0002-2422-942X"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuhua Jiang","raw_affiliation_strings":["School of Information Engineering, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.12513946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"925","last_page":"929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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/T11019","display_name":"Image Enhancement 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"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7750726938247681},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.7398132681846619},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7187478542327881},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.661432683467865},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6154325604438782},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.5896997451782227},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.571617603302002},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.5666537284851074},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.5631639957427979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5580398440361023},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5511894226074219},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.53737473487854},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.4916689991950989},{"id":"https://openalex.org/keywords/false-color","display_name":"False color","score":0.46087104082107544},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.459445595741272},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.4331860840320587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4169730842113495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41166651248931885},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4116475582122803},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2638814449310303},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.23244762420654297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21089640259742737}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7750726938247681},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.7398132681846619},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7187478542327881},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.661432683467865},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6154325604438782},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.5896997451782227},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.571617603302002},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.5666537284851074},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.5631639957427979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5580398440361023},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5511894226074219},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.53737473487854},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.4916689991950989},{"id":"https://openalex.org/C173285193","wikidata":"https://www.wikidata.org/wiki/Q519022","display_name":"False color","level":5,"score":0.46087104082107544},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.459445595741272},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.4331860840320587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4169730842113495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41166651248931885},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4116475582122803},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2638814449310303},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.23244762420654297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21089640259742737}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2015.7378114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7378114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","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":12,"referenced_works":["https://openalex.org/W168183989","https://openalex.org/W1969294188","https://openalex.org/W1976527644","https://openalex.org/W2019132794","https://openalex.org/W2069491732","https://openalex.org/W2096880827","https://openalex.org/W2111623464","https://openalex.org/W2118783153","https://openalex.org/W2133665775","https://openalex.org/W3145569728","https://openalex.org/W6644237708","https://openalex.org/W6682565029"],"related_works":["https://openalex.org/W2094705558","https://openalex.org/W2734928352","https://openalex.org/W1969294188","https://openalex.org/W2349299344","https://openalex.org/W1981206111","https://openalex.org/W2107623111","https://openalex.org/W2160078939","https://openalex.org/W2759974325","https://openalex.org/W2102981950","https://openalex.org/W2246759232"],"abstract_inverted_index":{"A":[0],"novel":[1],"color":[2,13,21,64],"damage":[3],"index":[4,80],"of":[5,36,54],"digital":[6],"images":[7],"is":[8,40,92],"proposed":[9,31,79,98],"based":[10],"on":[11],"the":[12,26,34,43,50,63,67,73,78,82,97],"characteristic":[14],"histogram":[15,52],"distance":[16],"and":[17,19,57,66,81],"primary":[18],"fundamental":[20],"distribution":[22],"characters":[23],"perceived":[24],"by":[25,42],"human":[27],"vision":[28],"system.":[29],"The":[30],"arithmetic":[32,99],"measures":[33],"quality":[35,87],"an":[37],"image":[38,45,86],"which":[39,91],"damaged":[41],"JPEG":[44],"compression":[46],"scheme":[47],"through":[48],"comparing":[49],"cumulative":[51],"distances":[53],"hue,":[55],"saturation,":[56],"luminance":[58],"between":[59,77],"two":[60],"images.":[61],"Meanwhile,":[62],"richness":[65],"low":[68],"saturation":[69],"ratio":[70],"are":[71],"also":[72],"reference":[74],"base.":[75],"Comparison":[76],"most":[83],"popular":[84],"full-reference":[85],"assessment":[88],"(IQA)":[89],"method":[90],"called":[93],"SSIM":[94],"indicates":[95],"that":[96],"could":[100],"be":[101],"more":[102],"efficient.":[103]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}