{"id":"https://openalex.org/W625277354","doi":null,"title":"Region Based Even Odd Watermarking Method With Fuzzy Wavelet","display_name":"Region Based Even Odd Watermarking Method With Fuzzy Wavelet","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W625277354","mag":"625277354"},"language":"en","primary_location":{"id":"mag:625277354","doi":null,"is_oa":false,"landing_page_url":"https://vixra.org/pdf/1211.0015v1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2883122597","display_name":"viXra","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"viXra","raw_type":null},"volume":null,"type":"preprint","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":"https://openalex.org/A5108116639","display_name":"S. Maruthuperumal","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Maruthuperumal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030134566","display_name":"G. Rosline Nesakumari","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Rosline Nesakumari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101481310","display_name":"V. Vijayakumar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Vijayakumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking 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/T10388","display_name":"Advanced Steganography and Watermarking 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/T10901","display_name":"Advanced Data Compression Techniques","score":0.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-image-watermarking","display_name":"image watermarking","score":0.8420000076293945},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"fuzzy logic","score":0.7590000033378601},{"id":"https://openalex.org/keywords/transform-domain-watermarking","display_name":"transform domain watermarking","score":0.6970000267028809},{"id":"https://openalex.org/keywords/watermark-robustness","display_name":"watermark robustness","score":0.7269999980926514},{"id":"https://openalex.org/keywords/image-authentication","display_name":"image authentication","score":0.7960000038146973},{"id":"https://openalex.org/keywords/watermark-extraction-without-original-image","display_name":"watermark extraction without original image","score":0.8690000176429749}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8975797295570374},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.829947292804718},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6612857580184937},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5928997993469238},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5845907926559448},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5792135000228882},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.575247585773468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5551660656929016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5424879193305969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5295969843864441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5086058378219604},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4601711630821228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4391494691371918},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4289436340332031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4162621796131134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3952488303184509},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07532501220703125},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":1,"locations":[{"id":"mag:625277354","doi":null,"is_oa":false,"landing_page_url":"https://vixra.org/pdf/1211.0015v1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2883122597","display_name":"viXra","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"viXra","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2014083829","https://openalex.org/W2029670419","https://openalex.org/W2081987564","https://openalex.org/W2116467012","https://openalex.org/W2126660587","https://openalex.org/W2141852054","https://openalex.org/W2611745365","https://openalex.org/W3135342362"],"related_works":["https://openalex.org/W2408479149","https://openalex.org/W2601413233","https://openalex.org/W2348667233","https://openalex.org/W2370432323","https://openalex.org/W2382218407","https://openalex.org/W50765779","https://openalex.org/W2354638759","https://openalex.org/W2096776554","https://openalex.org/W2073336695","https://openalex.org/W2010517149"],"abstract_inverted_index":{"To":[0,73],"overcome":[1],"the":[2,8,11,19,31,34,38,46,51,55,59,80,83,89,112,118,125,128,134],"weak":[3],"robustness":[4],"problem":[5],"of":[6,108,114,127],"embedding":[7],"watermark":[9,52,84,119],"in":[10,41,54,79,88],"spatial":[12],"domain":[13,43],"and":[14,44,62,77],"to":[15,49],"provide":[16,74],"high":[17,75],"authentication,":[18],"present":[20],"paper":[21],"presents":[22],"a":[23,68],"novel":[24,69],"watermarking":[25],"scheme":[26,107],"with":[27,133],"two":[28],"steps.":[29],"In":[30],"step":[32,81,94,109],"one,":[33],"proposed":[35,129],"method":[36,130],"modifies":[37],"original":[39,60,115],"image":[40,61,65,116],"transform":[42],"identifies":[45],"pixel":[47,90],"location":[48,91],"insert":[50],"bits":[53,85],"difference":[56],"values":[57],"between":[58],"its":[63],"reference":[64],"based":[66,98],"on":[67],"fuzzy":[70],"logic":[71],"method.":[72],"authentication":[76],"security":[78],"two,":[82],"are":[86],"embedded":[87],"selected":[92],"by":[93],"one":[95,110],"using":[96],"Region":[97],"Even":[99],"Odd":[100],"(REO)":[101],"Method.":[102],"The":[103,121],"Fuzzy":[104],"Wavelet":[105],"(FW)":[106],"eliminates":[111],"requirement":[113],"for":[117],"extraction.":[120],"experimental":[122],"result":[123],"indicates":[124],"efficacy":[126],"when":[131],"compared":[132],"various":[135],"other":[136],"methods.":[137]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-02T10:15:12.560889","created_date":"2016-06-24T00:00:00"}