{"id":"https://openalex.org/W2494305563","doi":"https://doi.org/10.1109/i2mtc.2016.7520503","title":"Adaptive contourlet-based image watermarking robust to geometric transformations and image compression","display_name":"Adaptive contourlet-based image watermarking robust to geometric transformations and image compression","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2494305563","doi":"https://doi.org/10.1109/i2mtc.2016.7520503","mag":"2494305563"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2016.7520503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2016.7520503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102917691","display_name":"Jiying Zhao","orcid":"https://orcid.org/0000-0002-7921-6503"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiying Zhao","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9940999746322632,"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/contourlet","display_name":"Contourlet","score":0.9787886142730713},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.7895545959472656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7460170388221741},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.7075708508491516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6282844543457031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6252222657203674},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5255804657936096},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49720290303230286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4651423692703247},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4627511501312256},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4616365134716034},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.410473108291626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37126508355140686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3529578447341919},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.11172392964363098}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.9787886142730713},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.7895545959472656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7460170388221741},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.7075708508491516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6282844543457031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6252222657203674},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5255804657936096},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49720290303230286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4651423692703247},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4627511501312256},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4616365134716034},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.410473108291626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37126508355140686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3529578447341919},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.11172392964363098},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2016.7520503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2016.7520503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1968419893","https://openalex.org/W1987686537","https://openalex.org/W2006883719","https://openalex.org/W2036031434","https://openalex.org/W2076018353","https://openalex.org/W2085889771","https://openalex.org/W2104172174","https://openalex.org/W2110623466","https://openalex.org/W2116123927","https://openalex.org/W2117853853","https://openalex.org/W2120879609","https://openalex.org/W2122964006","https://openalex.org/W2133907445","https://openalex.org/W2139315048","https://openalex.org/W2153882699","https://openalex.org/W2171845226","https://openalex.org/W2988294997"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W2098152888","https://openalex.org/W1559740347","https://openalex.org/W2040356834","https://openalex.org/W2080353903","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,128],"new":[4],"image":[5,13,45,140],"watermarking":[6],"scheme":[7,100,116],"robust":[8],"to":[9,60,78,104],"geometric":[10],"transformations":[11],"and":[12,25,125,139],"compression.":[14,141],"The":[15,52,86,110],"approach":[16],"presented":[17],"here":[18],"is":[19,75],"based":[20],"on":[21],"contourlet":[22,35,56],"transform":[23],"(CT)":[24],"principal":[26,53],"component":[27],"analysis":[28],"(PCA).":[29],"In":[30],"this":[31],"scheme,":[32],"the":[33,38,43,49,62,66,71,80,84,99,115],"largest":[34],"coefficients":[36,57],"of":[37,42,55,83,122,130],"last":[39],"directional":[40],"subband":[41],"cover":[44],"are":[46,58],"selected":[47],"as":[48,134],"embedding":[50,73],"location.":[51],"components":[54],"used":[59],"embed":[61],"watermark.":[63],"Meanwhile,":[64],"with":[65,91],"noise":[67],"visibility":[68],"function":[69],"(NVF),":[70],"watermark":[72,87],"strength":[74],"adjusted":[76],"adaptively":[77],"preserve":[79],"perceptual":[81],"quality":[82],"image.":[85],"can":[88,101],"be":[89,102,105],"detected":[90],"high":[92],"accuracy":[93],"after":[94],"various":[95],"possible":[96],"distortions.":[97],"Moreover,":[98],"extended":[103],"blind":[106],"for":[107],"different":[108],"applications.":[109],"experimental":[111],"results":[112],"demonstrate":[113],"that":[114],"has":[117],"good":[118],"performance":[119],"in":[120],"terms":[121],"both":[123],"fidelity":[124],"robustness":[126],"against":[127],"variety":[129],"image-processing":[131],"attacks,":[132],"such":[133],"rotation,":[135],"scaling,":[136],"translation":[137],"(RST)":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}