{"id":"https://openalex.org/W2922359874","doi":"https://doi.org/10.23919/apsipa.2018.8659597","title":"Detectability of the Image Operation Order: Upsampling and Mean Filtering","display_name":"Detectability of the Image Operation Order: Upsampling and Mean Filtering","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2922359874","doi":"https://doi.org/10.23919/apsipa.2018.8659597","mag":"2922359874"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659597","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5014545352","display_name":"Jiana Li","orcid":"https://orcid.org/0000-0002-1605-8528"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiana Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716299","display_name":"Xin Liao","orcid":"https://orcid.org/0000-0002-9131-0578"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089352672","display_name":"Rongbing Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongbing Hu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103259692","display_name":"Xuchong Liu","orcid":"https://orcid.org/0009-0001-7190-1821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuchong Liu","raw_affiliation_strings":["Key Laboratory of Network Crime Investigation of Hunan Provincial Colleges, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Network Crime Investigation of Hunan Provincial Colleges, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014545352"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.643679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1544","last_page":"1549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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/T12357","display_name":"Digital Media Forensic Detection","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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9912999868392944,"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/T13877","display_name":"Law in Society and Culture","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.9717086553573608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6733269691467285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5800349712371826},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5585715770721436},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5260153412818909},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.42707115411758423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42411336302757263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3845100998878479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19935396313667297}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9717086553573608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733269691467285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800349712371826},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5585715770721436},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5260153412818909},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42707115411758423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42411336302757263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3845100998878479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19935396313667297},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659597","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W120119343","https://openalex.org/W1515615411","https://openalex.org/W2010556735","https://openalex.org/W2019716459","https://openalex.org/W2033206719","https://openalex.org/W2038168805","https://openalex.org/W2046686077","https://openalex.org/W2080264113","https://openalex.org/W2096933452","https://openalex.org/W2130602271","https://openalex.org/W2148610715","https://openalex.org/W2155084545","https://openalex.org/W2155180118","https://openalex.org/W2158071928","https://openalex.org/W2198175342","https://openalex.org/W2254294751","https://openalex.org/W2407733389","https://openalex.org/W2536326793","https://openalex.org/W2541429634","https://openalex.org/W2606134143","https://openalex.org/W2759636682","https://openalex.org/W2771068965","https://openalex.org/W4255023712","https://openalex.org/W6604906609","https://openalex.org/W6655480541","https://openalex.org/W6679542102","https://openalex.org/W6714202436"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4385574037","https://openalex.org/W4386075645","https://openalex.org/W4306309518"],"abstract_inverted_index":{"As":[0],"image":[1,40],"modification":[2],"and":[3,15,28,47,67,100,115,143,178],"tampering,":[4],"especially":[5],"multiple":[6],"editing":[7,25],"operations,":[8,26],"prevail":[9],"in":[10,52,76,129],"today's":[11],"world,":[12],"identifying":[13],"authenticity":[14],"credibility":[16],"of":[17,49,65,79,81,98,126,132,139,147,176,188],"digital":[18],"images":[19],"becomes":[20],"increasingly":[21],"important.":[22],"Recently,":[23],"two":[24,110,156],"upsampling":[27,66,99,177],"mean":[29,68,101,179],"filtering,":[30],"have":[31],"attracted":[32],"increasing":[33],"attention.":[34],"While":[35],"there":[36],"are":[37,60,167],"many":[38],"existing":[39],"forensics":[41],"techniques":[42],"to":[43,94,108,122,153,162,169],"identify":[44],"the":[45,63,96,112,116,124,130,137,140,145,186,189],"existence":[46],"order":[48,64,97,118],"specific":[50],"operations":[51],"a":[53,87],"certain":[54],"processing":[55],"chain,":[56],"few":[57],"detecting":[58],"methods":[59],"concerned":[61],"about":[62],"filtering":[69,102],"operations.":[70,103],"Following":[71],"some":[72],"strongly":[73],"indicative":[74],"analysis":[75],"different":[77,150],"domains":[78],"DFTs":[80,131],"images'":[82,133],"p-maps,":[83],"this":[84],"paper":[85],"discusses":[86],"newly":[88],"designed":[89],"method":[90],"which":[91],"utilizes":[92],"features":[93,125,157,166],"determine":[95],"Specifically,":[104],"our":[105],"goal":[106],"is":[107],"use":[109],"features,":[111],"symmetry-based":[113],"PSNR":[114],"fourth":[117],"energy":[119],"fitting":[120,141],"curve,":[121],"characterize":[123],"operation":[127,163],"chains":[128],"p-maps.":[134],"We":[135],"calculate":[136],"variance":[138],"curve":[142],"examine":[144],"change":[146],"fingerprints":[148],"under":[149],"operating":[151],"intensities":[152],"ensure":[154],"these":[155],"can":[158,184],"be":[159],"broadly":[160],"applied":[161],"detection.":[164],"These":[165],"fed":[168],"SVM,":[170],"effectively":[171],"discriminating":[172],"among":[173],"five":[174],"combinations":[175],"filtering.":[180],"The":[181],"representative":[182],"experiments":[183],"verify":[185],"effectiveness":[187],"proposed":[190],"method.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
