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Image watermarking based on the space/spatial-frequency analysis and Hermite functions expansion.

, , , and . J. Electronic Imaging, 22 (1): 013014 (2013)

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Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution., , and . IEEE Trans. Image Processing, 10 (4): 650-658 (2001)Compressive Sensing Reconstruction for Sparse 2D Data., and . CoRR, (2015)A system for compressive sensing signal reconstruction., , , and . EUROCON, page 170-175. IEEE, (2017)The reconstruction of 2D sparse signals by exploiting transform coefficients variances., , , and . EUROCON, page 282-286. IEEE, (2017)Identification of image source using serial-number-based watermarking under Compressive Sensing conditions., , , and . MIPRO, page 1227-1232. IEEE, (2017)An Analog-Digital Hardware for L-Estimate Space-Varying Image Filtering., , and . CSSP, 35 (2): 409-420 (2016)Computed tomography image analyzer: 3D reconstruction and segmentation applying active contour models - 'snakes'., , and . Int. J. Medical Informatics, (2000)Motion parameters estimation by new propagation approach and time-frequency representations., , , and . Signal Process. Image Commun., 19 (8): 755-770 (2004)Compressive Sensing Based Separation of Nonstationary and Stationary Signals Overlapping in Time-Frequency., , , and . IEEE Trans. Signal Process., 61 (18): 4562-4572 (2013)On the Wigner distribution of discrete-time noisy signals with application to the study of quantization effects., and . IEEE Trans. Signal Process., 42 (7): 1863-1867 (1994)