{"id":"https://openalex.org/W2104515599","doi":null,"title":"INFORMATION HIDING WATERMARKING DETECTION TECHNIQUE BY PSNR AND RGB INTENSITY","display_name":"INFORMATION HIDING WATERMARKING DETECTION TECHNIQUE BY PSNR AND RGB INTENSITY","publication_year":2012,"publication_date":"2012-10-10","ids":{"openalex":"https://openalex.org/W2104515599","mag":"2104515599"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.637.5343","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.5343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijcem.org/papers112012/ijcem_112012_04.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Neha Chauhan","orcid":"https://orcid.org/0000-0002-6509-4090","observed_orcids":["https://orcid.org/0000-0002-6509-4090"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neha Chauhan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6509-4090","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103036208","display_name":"Akhilesh A. Waoo","orcid":"https://orcid.org/0000-0001-6788-710X","observed_orcids":["https://orcid.org/0000-0001-6788-710X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akhilesh A. Waoo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087644252","display_name":"Pushpinder Singh Patheja","orcid":"https://orcid.org/0000-0003-4252-7735","observed_orcids":["https://orcid.org/0000-0003-4252-7735"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pushpinder Singh Patheja","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4252-7735","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8803,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76022087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"3","issue":"9","first_page":"18","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0007999999797903001,"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/T10901","display_name":"Advanced Data Compression Techniques","score":9.999999747378752e-05,"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-image-watermarking","display_name":"image watermarking","score":0.8679999709129333},{"id":"https://openalex.org/keywords/watermark-detection","display_name":"watermark detection","score":0.796999990940094},{"id":"https://openalex.org/keywords/tamper-detection","display_name":"tamper detection","score":0.8479999899864197},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"discrete wavelet transform","score":0.8600000143051147},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"singular value decomposition","score":1.0},{"id":"https://openalex.org/keywords/psnr","display_name":"PSNR","score":0.8679999709129333},{"id":"https://openalex.org/keywords/linear-classifiers","display_name":"linear classifiers","score":0.8709999918937683},{"id":"https://openalex.org/keywords/attack-robustness","display_name":"attack robustness","score":0.7390000224113464},{"id":"https://openalex.org/keywords/geometric-attacks","display_name":"geometric attacks","score":0.7400000095367432},{"id":"https://openalex.org/keywords/jpeg-compression-attacks","display_name":"JPEG compression attacks","score":0.7829999923706055},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"histogram equalization","score":0.6919999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812889814376831},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.7995721101760864},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.6338851451873779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6126391887664795},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5188226103782654},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.5058503150939941},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.4692404568195343},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4654797911643982},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46342766284942627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4581843912601471},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.4474385976791382},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44224950671195984},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2657131850719452},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.637.5343","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.5343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijcem.org/papers112012/ijcem_112012_04.pdf","raw_type":"text"},{"id":"mag:2104515599","doi":null,"is_oa":false,"landing_page_url":"https://www.rroij.com/open-access/information-hiding-watermarking-detection-technique-by-psnr-and-rgb-intensity-18-22.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764972196","display_name":"Journal of Global Research in Computer Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Global Research in Computer Sciences","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1681763040","https://openalex.org/W1895525220","https://openalex.org/W2008564630","https://openalex.org/W2011859521","https://openalex.org/W2054692755","https://openalex.org/W2091718681","https://openalex.org/W2096776554","https://openalex.org/W2116467012","https://openalex.org/W2124890704","https://openalex.org/W2367418749","https://openalex.org/W2740727601","https://openalex.org/W2764623140"],"related_works":["https://openalex.org/W7096202121","https://openalex.org/W2186896458","https://openalex.org/W2011859521","https://openalex.org/W2321005297","https://openalex.org/W2188950520","https://openalex.org/W2156858913","https://openalex.org/W2619314172","https://openalex.org/W2371720232","https://openalex.org/W2043626652","https://openalex.org/W1967762327"],"abstract_inverted_index":{"There":[0],"has":[1,185],"been":[2],"many":[3],"techniques":[4],"for":[5,21,194],"hiding":[6,178],"messages":[7],"in":[8],"images.":[9],"We":[10],"propose":[11],"a":[12,72,87,95],"new":[13],"region-adaptive":[14,91],"watermarking":[15,37,92,126],"algorithm":[16],"which":[17],"will":[18,107,175],"be":[19,108,165],"used":[20],"the":[22,31,35,68,90,110,114,121,124,145,177,181,199],"novel":[23,88],"application":[24],"to":[25,97,112,153,188,198],"detect":[26,98],"watermark":[27,60],"attacks.":[28],"One":[29],"of":[30,34,67,74,102,116,123,161],"major":[32],"advantages":[33],"proposed":[36,125],"detection":[38,50],"technique":[39,93,111],"is":[40,62,86],"PSNR":[41],"and":[42,78,118,133,140,150,184],"RGB":[43],"Intensity":[44],"value":[45,80],"that":[46],"it":[47],"allows":[48],"tamper":[49],"using":[51,71],"linear":[52],"classifier":[53],"by":[54,167],"providing":[55,195],"these":[56,162],"discriminating":[57],"features.":[58],"The":[59,159],"data":[61,179],"embedded":[63],"on":[64,180],"different":[65],"regions":[66],"host":[69],"image":[70,183],"combination":[73],"discrete":[75],"wavelet":[76],"transform":[77],"singular":[79],"decomposition":[81],"technique.":[82],"In":[83],"addition,":[84],"there":[85],"use":[89],"as":[94],"means":[96],"if":[99],"certain":[100],"types":[101],"attack":[103],"have":[104],"occurred.":[105],"As":[106],"elaborated,":[109],"improves":[113],"speed":[115],"detection,":[117],"also":[119,157],"test":[120],"robustness":[122],"scheme.":[127],"They":[128],"are":[129,156],"Gaussian":[130],"noise,":[131,135],"salt":[132],"pepper":[134],"sharpen,":[136],"smoothing,":[137],"histogram":[138],"equalization":[139],"JPEG":[141],"compression":[142],"attack.":[143],"At":[144],"same":[146],"time,":[147],"rotation,":[148],"translation":[149],"scaling":[151],"belongs":[152],"geometric":[154],"attacks":[155,163],"applied.":[158],"severity":[160],"can":[164],"adjusted":[166],"modifying":[168],"their":[169],"corresponding":[170],"parameter":[171],"values.":[172],"Experimental":[173],"results":[174],"detected":[176],"original":[182],"little":[186],"relation":[187],"secret":[189],"message":[190],"file.":[191],"It":[192],"helps,":[193],"more":[196],"security":[197],"information":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}