{"id":"https://openalex.org/W3004649587","doi":"https://doi.org/10.23919/fruct48121.2019.8981520","title":"Perceptual Image Hashing: Tolerant to Brightness and Contrast Corrections Method Based on Cumulative Histogram Slicing","display_name":"Perceptual Image Hashing: Tolerant to Brightness and Contrast Corrections Method Based on Cumulative Histogram Slicing","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004649587","doi":"https://doi.org/10.23919/fruct48121.2019.8981520","mag":"3004649587"},"language":"en","primary_location":{"id":"doi:10.23919/fruct48121.2019.8981520","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct48121.2019.8981520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/28b6b3e2f6b2432ea65aa5c73420895e","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104096884","display_name":"Aleksei Zhuvikin","orcid":null},"institutions":[{"id":"https://openalex.org/I37355250","display_name":"Saint-Petersburg State University of Telecommunications","ror":"https://ror.org/00pcyc255","country_code":"RU","type":"education","lineage":["https://openalex.org/I37355250"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Aleksei Zhuvikin","raw_affiliation_strings":["State University of Telecommunications,The Bonch-Bruevich Saint-Petersburg,Saint-Petersburg,Russia","The Bonch-Bruevich Saint-Petersburg, State University of Telecommunications, Saint-Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"State University of Telecommunications,The Bonch-Bruevich Saint-Petersburg,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I37355250"]},{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg, State University of Telecommunications, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I37355250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037537042","display_name":"Valery Korzhik","orcid":"https://orcid.org/0000-0002-8347-6527"},"institutions":[{"id":"https://openalex.org/I37355250","display_name":"Saint-Petersburg State University of Telecommunications","ror":"https://ror.org/00pcyc255","country_code":"RU","type":"education","lineage":["https://openalex.org/I37355250"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Valery Korzhik","raw_affiliation_strings":["State University of Telecommunications,The Bonch-Bruevich Saint-Petersburg,Saint-Petersburg,Russia","The Bonch-Bruevich Saint-Petersburg, State University of Telecommunications, Saint-Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"State University of Telecommunications,The Bonch-Bruevich Saint-Petersburg,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I37355250"]},{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg, State University of Telecommunications, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I37355250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104096884"],"corresponding_institution_ids":["https://openalex.org/I37355250"],"apc_list":null,"apc_paid":null,"fwci":0.1022,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48183008,"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":"391","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","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"}},"topics":[{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification 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"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.7322354316711426},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7017228603363037},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6811137199401855},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6647275686264038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6377008557319641},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.6324568390846252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6177572011947632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5564165115356445},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5346965193748474},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5018231868743896},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.45644739270210266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3837486505508423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3463314175605774},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2752569913864136},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.11587753891944885}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.7322354316711426},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7017228603363037},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6811137199401855},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6647275686264038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6377008557319641},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6324568390846252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6177572011947632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5564165115356445},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5346965193748474},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5018231868743896},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.45644739270210266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3837486505508423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3463314175605774},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2752569913864136},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.11587753891944885},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct48121.2019.8981520","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct48121.2019.8981520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:28b6b3e2f6b2432ea65aa5c73420895e","is_oa":true,"landing_page_url":"https://doaj.org/article/28b6b3e2f6b2432ea65aa5c73420895e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 622, Iss 25, Pp 391-397 (2019)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:28b6b3e2f6b2432ea65aa5c73420895e","is_oa":true,"landing_page_url":"https://doaj.org/article/28b6b3e2f6b2432ea65aa5c73420895e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 622, Iss 25, Pp 391-397 (2019)","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W35660749","https://openalex.org/W1551558511","https://openalex.org/W1586355707","https://openalex.org/W1788576983","https://openalex.org/W1880212920","https://openalex.org/W1966921837","https://openalex.org/W2050815398","https://openalex.org/W2068142860","https://openalex.org/W2097211398","https://openalex.org/W2114550641","https://openalex.org/W2162006472","https://openalex.org/W2166554499","https://openalex.org/W2185917628","https://openalex.org/W2590096814","https://openalex.org/W6634952453","https://openalex.org/W6674843492","https://openalex.org/W6686858752"],"related_works":["https://openalex.org/W2066185872","https://openalex.org/W2065866067","https://openalex.org/W2375849557","https://openalex.org/W1979012573","https://openalex.org/W2152100107","https://openalex.org/W2109325523","https://openalex.org/W4239902432","https://openalex.org/W1994838069","https://openalex.org/W2110241600","https://openalex.org/W2943995207"],"abstract_inverted_index":{"Perceptual":[0],"image":[1,15,27,90,145,177],"hashing":[2],"is":[3,45,79],"used":[4],"in":[5,59,101],"a":[6,76,85,102],"wide":[7],"range":[8],"of":[9,66,97,126],"practical":[10],"applications":[11],"which":[12],"include":[13],"content":[14,108,128,146],"authentication,":[16],"digital":[17,201],"watermarking,":[18],"pattern":[19],"recognition,":[20],"computer":[21],"vision":[22],"and":[23,39,114,161,186],"database":[24],"fast":[25],"duplicate":[26],"retrieval.":[28],"Existing":[29],"techniques":[30],"are":[31,64,93,99,105,130],"not":[32],"well":[33],"suited":[34],"for":[35,87],"the":[36,56,67,74,88,127,134,139,158,169,196,200],"significant":[37,184],"brightness":[38,113,185],"contrast":[40,115,187],"corrections.":[41,116,188],"The":[42,95,189],"main":[43],"point":[44],"that":[46,168],"such":[47,111],"manipulations":[48,110],"can":[49],"lead":[50],"to":[51,55,72,107,121,133,175,182,194],"information":[52],"loss":[53],"due":[54,132],"histogram":[57,82],"truncation":[58],"cases":[60],"when":[61,124],"pixel":[62,135],"values":[63],"out":[65],"dynamic":[68],"range.":[69],"In":[70],"order":[71],"address":[73],"issue":[75],"novel":[77],"technique":[78],"suggested.":[80],"Cumulative":[81],"slices":[83,129],"as":[84,112],"pivot":[86],"subsequent":[89],"features":[91],"calculations":[92],"used.":[94],"points":[96],"slicing":[98],"calculated":[100,160],"way":[103],"they":[104],"robust":[106],"preserving":[109],"This":[117],"approach":[118],"allows":[119,192],"one":[120,143,193],"handle":[122],"situations":[123],"some":[125],"lost":[131],"value":[136],"overflow.":[137],"On":[138],"other":[140],"hand,":[141],"if":[142],"tampers":[144],"within":[147],"any":[148],"existing":[149],"slice":[150],"it":[151],"will":[152],"then":[153],"be":[154],"detected":[155],"by":[156],"comparing":[157],"correspondent":[159],"provided":[162],"hash":[163],"values.":[164],"Experiment":[165],"results":[166],"show":[167],"suggested":[170],"method":[171,198],"has":[172],"sufficient":[173],"sensitivity":[174],"detect":[176],"tampering":[178],"whereas":[179],"being":[180],"tolerant":[181],"even":[183],"memory":[190],"consumption":[191],"use":[195],"proposed":[197],"with":[199],"watermarking":[202],"schemes.":[203]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}