Farah Torkamani-Azar

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This paper proposes a new method for blind digital video watermarking in H.264 standard based on pattern consideration. The major challenging issue in designing a blind H.264 watermarking scheme is instability of the prediction modes in case of re-encoding which alters the residuals in the sequel. As a result, the blind decoding of the watermarked media is(More)
This paper proposes a new method for digital video watermarking in compressed domain. Both the embedding and extracting phases are performed after entropy decoding. Consequently, fully decompressing the compressed video is not necessary making this scheme an appropriate choice for real-time application. Furthermore, taking the structural information into(More)
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In most reversible watermarking methods, a compressed location map is exploited in order to ensure reversibility. Besides, in some methods, a header containing critical information is appended to the payload for(More)
Huge amounts of data in hyperspectral images have been caused to represent approaches for the band selection of these images. In this paper, a new approach based on independent component analysis (ICA) is proposed. The idea of projection pursuit is used to order the bands on the basis of a non-gaussianity distribution. Applying a negentropy function to(More)
Spectrum resources are facing huge demands and cognitive radio (CR) can improve the spectrum utilization. Recently, power spectral density (PSD) map is defined to enable the CR to reuse the frequency resources regarding to the area. For this reason, the sensed PSDs are fused by a Fusion Center (FC) which the sensed PSDs are collected by the distributed(More)