Search results for "image watermarking"

showing 3 items of 3 documents

A robust blind 3-D mesh watermarking based on wavelet transform for copyright protection

2019

Nowadays, three-dimensional meshes have been extensively used in several applications such as, industrial, medical, computer-aided design (CAD) and entertainment due to the processing capability improvement of computers and the development of the network infrastructure. Unfortunately, like digital images and videos, 3-D meshes can be easily modified, duplicated and redistributed by unauthorized users. Digital watermarking came up while trying to solve this problem. In this paper, we propose a blind robust watermarking scheme for three-dimensional semiregular meshes for Copyright protection. The watermark is embedded by modifying the norm of the wavelet coefficient vectors associated with th…

FOS: Computer and information sciences0209 industrial biotechnologyComputer sciencevideo watermarking02 engineering and technologyWatermarkingimage watermarking020901 industrial engineering & automationWaveletcopy protectionvectorsRobustness (computer science)Computer Science::Multimedia0202 electrical engineering electronic engineering information engineeringwavelet coefficient vectorsControlled IndexingComputer visionPolygon meshQuantization (image processing)RobustnessDigital watermarkingComputingMilieux_MISCELLANEOUSComputer Science::Cryptography and SecurityQuantization (signal)digital watermarkingbusiness.industrycopyrightedge normal normsWavelet transformunauthorized usersWatermarkThree-dimensional meshesMultimedia (cs.MM)mesh generationwavelet transformssynchronizing primitives3D semiregular meshesSolid modelingrobust blind 3D mesh watermarking020201 artificial intelligence & image processingArtificial intelligenceLaplacian smoothingbusinessCopyright protection[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputer Science - Multimediaimage resolutionDigital images
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Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

2018

In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine transform (DCT). The motivation behind this combination is to enhance the imperceptibility and the robustness. The imperceptibility requirement is achieved by using magnitudes of DFT coefficients while the robustness improvement is ensured by applying DCT to the DFT coefficients magnitude. The watermark is embedded by modifying the coefficients of the middle band of the DCT using a secret key. The security of the proposed method is enhanced by appl…

FOS: Computer and information sciencesComputer Science - Cryptography and SecurityComputer Networks and CommunicationsComputer scienceMultiple Watermarking02 engineering and technologyDiscrete Fourier transformImage (mathematics)Digital imageDiscrete Fourier transform (DFT)SchemeRobustness (computer science)Quantization0202 electrical engineering electronic engineering information engineeringMedia TechnologyDiscrete cosine transformHybrid method[INFO]Computer Science [cs]Digital watermarkingDiscrete cosine transform (DCT)DistanceImage watermarking020207 software engineeringWatermarkMultimedia (cs.MM)Hardware and ArchitectureMedical ImagesEmbedding020201 artificial intelligence & image processingArnold transformWavelet DomainSvdCryptography and Security (cs.CR)AlgorithmCopyright protectionSoftwareComputer Science - Multimedia
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New Representations for Multidimensional Functions Based on Kolmogorov Superposition Theorem. Applications on Image Processing

2012

Mastering the sorting of the data in signal (nD) can lead to multiple applications like new compression, transmission, watermarking, encryption methods and even new processing methods for image. Some authors in the past decades have proposed to use these approaches for image compression, indexing, median filtering, mathematical morphology, encryption. A mathematical rigorous way for doing such a study has been introduced by Andrei Nikolaievitch Kolmogorov (1903-1987) in 1957 and recent results have provided constructive ways and practical algorithms for implementing the Kolmogorov theorem. We propose in this paper to present those algorithms and some preliminary results obtained by our team…

Theoretical computer science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingbusiness.industry[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingSortingimage progressive transmissionImage processingimage encryption[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingMathematical morphologyEncryptionimage watermarkingimage compressionImage (mathematics)multi-variables function representation[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingKolmogorov superposition theoremMedian filterbusinessDigital watermarkingAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingImage compressionMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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