Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/580202
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-08-02T04:38:12Z | - |
dc.date.available | 2024-08-02T04:38:12Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/580202 | - |
dc.description.abstract | newline | |
dc.format.extent | xv,126p | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Tamper Detection And Removal In Cctv Footages Using Forensic Image Processing Techniques | |
dc.title.alternative | ||
dc.creator.researcher | C.Abila Elizabeth | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Nancy Jasmine Goldena | |
dc.publisher.place | Tirunelveli | |
dc.publisher.university | Manonmaniam Sundaranar University | |
dc.publisher.institution | Department of Computer Science and Engg. | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science & Engg. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 44.04 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 85.4 kB | Adobe PDF | View/Open | |
03_content.pdf | 16.9 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 28.69 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 671.72 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 247.04 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 685.22 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 594.82 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 824.29 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 148.45 kB | Adobe PDF | View/Open | |
11_reference.pdf | 1.27 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 35.26 kB | Adobe PDF | View/Open |
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