Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/448522
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-18T05:37:52Z-
dc.date.available2023-01-18T05:37:52Z-
dc.identifier.urihttp://hdl.handle.net/10603/448522-
dc.description.abstractnewline Digital image watermarking is the most successful technique used for dealing with newlinecopyright-related issues and protection of multimedia content in today s fast-growing newlineworld. Despite of all the success of digital watermarking, it faces various problems in newlinepreservation of imperceptibility, robustness and security due to rapid development of newlineinternet and multimedia tools. To tackle these problems, various techniques have been newlinedeveloped in this proposed research work which can be utilized for ownership assertion, newlinecopy control and copyright protection of images. To show the efficacy and superiority newlineof newly developed schemes, an extensive exploration of experiments have been done newlineon the well- known standard images viz. Lena, Peppers, Baboon, Cameraman, Barbara, newlineCoins, House, and many more. newlineIn the first phase, two new optimized histogram shape-based image watermarking newlinetechniques have been proposed. As imperceptibility and robustness are contrary, a new newlineoptimized histogram shape-based watermarking scheme using genetic algorithm and newlineButterworth filtering has been proposed to hold the balance between imperceptibility newlineand robustness in the attacked environment. The extraction of low-frequency newlinecomponents from image has been performed through Butterworth filtering for holding newlineresistance against attacks. After that, the histogram shape concept has been employed newlinefor watermark embedding with the aim of maintaining perceptual quality even after newlineattacks. In continuation, the histogram range selection is taken as an optimization newlineproblem which is solved by using genetic algorithms through the fitness function. The newlinedesigned fitness function optimizes the histogram range selection in a manner that the newline© Guru Gobind Singh Indraprastha University, Dwarka, New Delhi newlinev newlineproposed watermarking process gives the best possible imperceptibility together with newlinerobustness even after attacks. The effectiveness of proposed techniques has been proved newlineby performing experiments on six different images. The exper
dc.format.extent167p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleImproved Digital Image Watermarking Techniques
dc.title.alternative
dc.creator.researcherSunesh
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideR.Rama Kishore
dc.publisher.placeDelhi
dc.publisher.universityGuru Gobind Singh Indraprastha University
dc.publisher.institutionUniversity School of Information and Communication Technology
dc.date.registered2014
dc.date.completed2020
dc.date.awarded2022
dc.format.dimensions29.5
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:University School of Information and Communication Technology

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File142.2 kBAdobe PDFView/Open
sunesh thesis (2).pdf2.43 MBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: