Matches in SemOpenAlex for { <https://semopenalex.org/work/W2504122759> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W2504122759 endingPage "412" @default.
- W2504122759 startingPage "399" @default.
- W2504122759 abstract "With the rapid advance in digital network, digital libraries, and particularly WWW (World Wide Web) services, we can retrieve many kinds of images on personal and mobile computer anytime and anywhere. At the same time, secure image archiving is becoming a major research area because the serious concern is raised about copyright protection and authority identification in digital media. A more sophisticated technique is required for future multimedia copyright protection. In this chapter we propose a secure image archiving using novel digital-watermarking techniques. Firstly, a nonlinear adaptive system (neural network) is applied for frequency-based digital watermarking. Secondly, we discuss application-oriented watermarking method for GIS image archiving. This chapter is divided into two parts. First section is about the way to apply nonlinear adaptive system for frequency-based image watermarking. We propose a new asymmetric technique employing nonlinear adaptive system trained on frequency domain. Our system uses two public keys to prevent removal attack and archive more fragile watermarking. In embedding, location information of frequency domain, where adaptive system is trained, is binalized, expressed in hexadecimal number, and encrypted in asymmetric cryptosystem. Encrypted location information is embedded in several parts of digital host contents. In generating key, supervised neural networks learn to assign the array of coefficients to teacher signal corresponding to the message to insert. This is one kind of transform-based method to generate public key from private key. In extracting, we use key matrix created by one-way signal processing of adaptive system. Proposal method is tested in still image, and we have empirically obtained the results that the proposal model is functional in implementing more secure and fragile watermarking compared with previous techniques, such as correlation and transform-based asymmetric watermarking. Several experiments are reported to validate the effectiveness of our watermarking method. Second section is about the application of GIS image archiving using digital watermarking technique. Recently, the utilization of GIS (geographical information system) is becoming rapidly pervasive. Consequently, new methodology of archiving and managing images is a pressing problem for GIS users. It is also expected that as the utilization of GIS becomes widely spread, protecting copyright and confidential images will be more important. In this chapter, we propose a three-layer image data format that makes it possible to synthesize two kinds of related images and analysis information in one image data size. To achieve the confidentiality of one hidden image, we apply the private watermarking scheme, where the algorithm is closed to the public. In the proposal model, encoder netlist embedded in the third layer is generated by FOL prover to achieve more secure and less information to decode it, compared with one operation of another block cipher such as RSA. Proposal system users can process two images without the cost of maintaining key and decoding operation." @default.
- W2504122759 created "2016-08-23" @default.
- W2504122759 creator A5050160318 @default.
- W2504122759 creator A5058321756 @default.
- W2504122759 date "2011-05-24" @default.
- W2504122759 modified "2023-09-25" @default.
- W2504122759 title "Secure Image Archiving Using Novel Digital Watermarking Techniques" @default.
- W2504122759 cites W1493775511 @default.
- W2504122759 cites W1493971325 @default.
- W2504122759 cites W1501952297 @default.
- W2504122759 cites W1584231374 @default.
- W2504122759 cites W1797475765 @default.
- W2504122759 cites W1974055763 @default.
- W2504122759 cites W2003757471 @default.
- W2504122759 cites W2010315761 @default.
- W2504122759 cites W2082150615 @default.
- W2504122759 cites W2114694890 @default.
- W2504122759 cites W2116467012 @default.
- W2504122759 cites W2126660587 @default.
- W2504122759 cites W2148676448 @default.
- W2504122759 cites W2798766386 @default.
- W2504122759 doi "https://doi.org/10.4018/978-1-59904-762-1.ch021" @default.
- W2504122759 hasPublicationYear "2011" @default.
- W2504122759 type Work @default.
- W2504122759 sameAs 2504122759 @default.
- W2504122759 citedByCount "0" @default.
- W2504122759 crossrefType "book-chapter" @default.
- W2504122759 hasAuthorship W2504122759A5050160318 @default.
- W2504122759 hasAuthorship W2504122759A5058321756 @default.
- W2504122759 hasConcept C115961682 @default.
- W2504122759 hasConcept C121684516 @default.
- W2504122759 hasConcept C150817343 @default.
- W2504122759 hasConcept C193470923 @default.
- W2504122759 hasConcept C31972630 @default.
- W2504122759 hasConcept C38652104 @default.
- W2504122759 hasConcept C41008148 @default.
- W2504122759 hasConceptScore W2504122759C115961682 @default.
- W2504122759 hasConceptScore W2504122759C121684516 @default.
- W2504122759 hasConceptScore W2504122759C150817343 @default.
- W2504122759 hasConceptScore W2504122759C193470923 @default.
- W2504122759 hasConceptScore W2504122759C31972630 @default.
- W2504122759 hasConceptScore W2504122759C38652104 @default.
- W2504122759 hasConceptScore W2504122759C41008148 @default.
- W2504122759 hasLocation W25041227591 @default.
- W2504122759 hasOpenAccess W2504122759 @default.
- W2504122759 hasPrimaryLocation W25041227591 @default.
- W2504122759 hasRelatedWork W1512684829 @default.
- W2504122759 hasRelatedWork W2043929819 @default.
- W2504122759 hasRelatedWork W2082428832 @default.
- W2504122759 hasRelatedWork W2100483629 @default.
- W2504122759 hasRelatedWork W2102197871 @default.
- W2504122759 hasRelatedWork W2139011273 @default.
- W2504122759 hasRelatedWork W2152003345 @default.
- W2504122759 hasRelatedWork W2313942670 @default.
- W2504122759 hasRelatedWork W2345965531 @default.
- W2504122759 hasRelatedWork W2355280640 @default.
- W2504122759 hasRelatedWork W2379523635 @default.
- W2504122759 hasRelatedWork W2382500093 @default.
- W2504122759 hasRelatedWork W2383435500 @default.
- W2504122759 hasRelatedWork W2536992317 @default.
- W2504122759 hasRelatedWork W2541314209 @default.
- W2504122759 hasRelatedWork W2734879739 @default.
- W2504122759 hasRelatedWork W3134120101 @default.
- W2504122759 hasRelatedWork W1801207710 @default.
- W2504122759 hasRelatedWork W2184840819 @default.
- W2504122759 hasRelatedWork W2222310484 @default.
- W2504122759 isParatext "false" @default.
- W2504122759 isRetracted "false" @default.
- W2504122759 magId "2504122759" @default.
- W2504122759 workType "book-chapter" @default.