{"id":"https://openalex.org/W1897627025","doi":"https://doi.org/10.1109/isspit.2014.7300608","title":"A novel medical image watermarking technique for detecting tampers inside ROI and recovering original ROI","display_name":"A novel medical image watermarking technique for detecting tampers inside ROI and recovering original ROI","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1897627025","doi":"https://doi.org/10.1109/isspit.2014.7300608","mag":"1897627025"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2014.7300608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5086367897","display_name":"R. Eswaraiah","orcid":"https://orcid.org/0000-0001-8605-0794"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eswaraiah Rayachoti","raw_affiliation_strings":["Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070586258","display_name":"Sreenivasa Reddy Edara","orcid":null},"institutions":[{"id":"https://openalex.org/I177001074","display_name":"Acharya Nagarjuna University","ror":"https://ror.org/02mfapa96","country_code":"IN","type":"education","lineage":["https://openalex.org/I177001074"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sreenivasa Reddy Edara","raw_affiliation_strings":["Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India","Computer Science and Engineering Acharya Nagarjuna University, Guntur, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I177001074"]},{"raw_affiliation_string":"Computer Science and Engineering Acharya Nagarjuna University, Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I177001074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086367897"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.54731776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"000321","last_page":"000326"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9976999759674072,"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/region-of-interest","display_name":"Region of interest","score":0.8630465269088745},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7587069272994995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487263679504395},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.7427139282226562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6876119375228882},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6719897389411926},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6622740626335144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.508969783782959},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4196128845214844}],"concepts":[{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.8630465269088745},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7587069272994995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487263679504395},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.7427139282226562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6876119375228882},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6719897389411926},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6622740626335144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.508969783782959},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4196128845214844},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2014.7300608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1509355250","https://openalex.org/W1588124242","https://openalex.org/W1975242935","https://openalex.org/W1991103900","https://openalex.org/W1998149867","https://openalex.org/W2004618645","https://openalex.org/W2032554606","https://openalex.org/W2045043475","https://openalex.org/W2049316709","https://openalex.org/W2085772752","https://openalex.org/W2099778990","https://openalex.org/W2142054349","https://openalex.org/W2142725494","https://openalex.org/W2145954541","https://openalex.org/W2164413944","https://openalex.org/W2322191343","https://openalex.org/W2533254298","https://openalex.org/W2533640199","https://openalex.org/W3012815475","https://openalex.org/W6635274626","https://openalex.org/W6662858141"],"related_works":["https://openalex.org/W2361629745","https://openalex.org/W2107922825","https://openalex.org/W2163290991","https://openalex.org/W2361184779","https://openalex.org/W3174961728","https://openalex.org/W2474386553","https://openalex.org/W2125329004","https://openalex.org/W2141752560","https://openalex.org/W4288057808","https://openalex.org/W2064771172"],"abstract_inverted_index":{"Transmission":[0],"of":[1,24,47,49,71,96,133,140,158],"medical":[2,40,55,72,81,123],"images":[3,14],"among":[4],"remote":[5],"places":[6],"is":[7,125,160],"a":[8,79],"general":[9],"practice":[10],"in":[11,52,57],"telemedicine.":[12],"Medical":[13],"may":[15,26],"be":[16,65],"modified":[17],"intentionally":[18],"or":[19],"accidentally":[20],"as":[21],"the":[22,39,45,53,69,94,107,119,122,145,170,176,194],"transmission":[23],"these":[25],"take":[27],"place":[28],"through":[29],"unsecure":[30],"networks":[31],"like":[32],"Internet.":[33],"Before":[34],"making":[35],"any":[36],"diagnostic":[37],"decisions,":[38],"practitioner":[41],"has":[42],"to":[43,59,106,175],"verify":[44],"integrity":[46,70,95],"Region":[48],"Interest":[50],"(ROI)":[51],"received":[54],"image":[56,82,124],"order":[58],"avoid":[60],"wrong":[61],"diagnosis.":[62],"Watermarking":[63],"can":[64],"used":[66],"for":[67,143],"checking":[68],"images.":[73],"In":[74,118],"this":[75],"paper,":[76],"we":[77],"propose":[78],"novel":[80],"watermarking":[83],"method":[84,172],"based":[85],"on":[86],"Integer":[87],"Wavelet":[88],"Transform":[89],"(IWT).":[90],"This":[91],"proposal":[92],"verifies":[93],"ROI,":[97,103,130,141],"precisely":[98],"identifies":[99],"tampered":[100,188],"blocks":[101],"inside":[102,110,153,181,190],"provide":[104],"robustness":[105,174],"data":[108,150,157,179],"embedded":[109,152,161,180],"RONI":[111,131,163,182],"and":[112,136,148,183,186,192],"recover":[113],"original":[114,195],"ROI":[115,146,159,177,191,196],"without":[116],"loss.":[117],"proposed":[120,171],"method,":[121],"segmented":[126],"into":[127,162],"three":[128],"regions:":[129],"(Region":[132],"Non":[134],"Interest)":[135],"border.":[137],"Hash":[138],"value":[139],"information":[142],"identifying":[144],"region":[147],"patient's":[149],"are":[151],"border":[154],"pixels.":[155],"Recovery":[156],"using":[164],"IWT.":[165],"Experimental":[166],"results":[167],"shows":[168],"that":[169],"provides":[173],"recovery":[178],"accurately":[184],"detects":[185],"localizes":[187],"areas":[189],"recovers":[193],"exactly.":[197]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}