Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/175890
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dc.date.accessioned2017-10-16T09:58:32Z-
dc.date.available2017-10-16T09:58:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/175890-
dc.description.abstractThe unprecedented growth of digital networks and rapid emergence of multimedia applications in the past decade has yielded a significant growth in transmission of digital media such as text, image, audio and video. Digital revolution has resulted in colossal explosion of knowledge in today s technology driven economy resulting in encouragement and motivation for digitization of intellectual creation or artifact. Digital data exhibits no apparent difference in quality between original work and copy thereof making it impossible to distinguish with only human intervention. This brings challenging and sensitive issue of copyright protection and authenticity in view of respecting originality of the work of creator. newline There is a need to develop a technique to identify original work and illegitimately copied work in the domain of digitized world. This has lead to the development of digital watermarking. Digital watermarking is a process of modifying digital media to embed a machine readable code in multimedia data such as text, image, audio or video. The digital data to be embedded may be in the form of text, audio or image. newlineThe focus of current research work is to develop a novel method for image watermarking. In image watermarking, information is embedded in host image also known as original image or cover image to prove ownership. The information embedded serves as watermark which may be in the form of pseudorandom binary sequence, text or logo image. Authenticating digital images with fair imperceptibility and high detection resolution is the challenge of today s research newline
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dc.languageEnglish
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dc.rightsuniversity
dc.titleWAVELET TRANSFORM AND FUZZY INFERENCE SYSTEM BASED ROBUST AND IMPERCEPTIBLE NON BLIND IMAGE WATERMARKING
dc.title.alternative
dc.creator.researcherJABADE VAISHALI S
dc.subject.keywordDigital Image Watermarking, Transform Domain Watermarking, Discrete Wavelet Transform (DWT), Human Visual System (HVS), Fuzzy Inference System (FIS), Signal Processing Attacks, Geometric Attacks
dc.description.note
dc.contributor.guideGENGAJE SACHIN
dc.publisher.placeSolapur
dc.publisher.universitySolapur University
dc.publisher.institutionDepartment of Electronics Engineering
dc.date.registered01-07-2010
dc.date.completed18-09-2017
dc.date.awarded18-09-2017
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics Engineering

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01_title.pdf.pdfAttached File106.47 kBAdobe PDFView/Open
02_certificates.pdf.pdf146.21 kBAdobe PDFView/Open
03_acknowledgement.pdf.pdf121.98 kBAdobe PDFView/Open
04_preface.pdf.pdf80.47 kBAdobe PDFView/Open
05_contents.pdf.pdf177.38 kBAdobe PDFView/Open
06_list of figures.pdf.pdf184.59 kBAdobe PDFView/Open
07_list of tables.pdf.pdf102.64 kBAdobe PDFView/Open
08_list of abbreviations and symbols.pdf.pdf408.89 kBAdobe PDFView/Open
09_chapter 1.pdf.pdf347.22 kBAdobe PDFView/Open
10_chapter 2.pdf.pdf242.29 kBAdobe PDFView/Open
11_chapter 3.pdf.pdf382.6 kBAdobe PDFView/Open
12_chapter 4.pdf.pdf372.61 kBAdobe PDFView/Open
13_chapter 5.pdf.pdf1.32 MBAdobe PDFView/Open
14_chapter 6.pdf.pdf469.85 kBAdobe PDFView/Open
15_chapter 7.pdf.pdf2.73 MBAdobe PDFView/Open
16_chapter 8.pdf.pdf2.17 MBAdobe PDFView/Open
17_chapter 9.pdf.pdf109.49 kBAdobe PDFView/Open
18_publications.pdf.pdf223.39 kBAdobe PDFView/Open
19_references.pdf.pdf290.06 kBAdobe PDFView/Open
abstract.pdf.pdf80.47 kBAdobe PDFView/Open


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