Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/528887
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-12-12T05:05:20Z | - |
dc.date.available | 2023-12-12T05:05:20Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/528887 | - |
dc.description.abstract | Available newline | |
dc.format.extent | xvi,132 p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Deep Learning Based Robust Watermarking Techniques for Digital Images | |
dc.title.alternative | ||
dc.creator.researcher | Amrit, Preetam | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Singh, Amit Kumar | |
dc.publisher.place | Patna | |
dc.publisher.university | National Institute of Technology Patna | |
dc.publisher.institution | Computer Science and Engineering | |
dc.date.registered | 2018 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | 28 cm | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 32.08 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 178.39 kB | Adobe PDF | View/Open | |
03_content.pdf | 83.72 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 78.96 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 769.48 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 1.07 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.29 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 875.83 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 964.29 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 89.48 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 168.11 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 119.03 kB | Adobe PDF | View/Open |
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