Farah Torkamani-Azar

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In this paper, a new blind and readable H.264 compressed domain watermarking scheme is proposed in which the embedding/extracting is performed using the syntactic elements of the compressed bit stream. As a result, it is not necessary to fully decode a compressed video stream both in the embedding and extracting processes. The method also presents an(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)
Recently computer aided diagnosis (CAD) systems have improved diagnosis of abnormalities in mammogram images. To improve the accuracy and reliability of such systems, the exact breast region as the region of interest (ROI), has to be segmented. Furthermore, focus on ROI can eliminates the effect of image background noise. Consequently it can reduce the(More)
The traditional mean square error (MSE) and signal to noise ratio (SNR) measurements are based on the pixel-by-pixel differences between the original and the distorted image. These quality values are not adapted with the human visual system (HVS). Also, they can not distinguish some different corruptions. In this paper, we use the singular value(More)
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)
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)