This paper presents an additive watermarking technique for grey scale pictures. It consists in secretly embedding copyright information (a binary code) into the picture without degrading its quality. Those bits are encoded through the phase of Maximal Length Sequences (MLS). MLS are binary sequences with good correlation properties. The result of the autocorrelation is much greater than crossco...

We propose a new blind source separation algorithm based on mixtures of alpha-stable distributions. Complex symmetric alpha-stable distributions have been recently showed to better model audio signals in the time-frequency domain than classical Gaussian distributions thanks to their larger dynamic range. However, inference of these models is notoriously hard to perform because their probability...

We present an algorithm for image browsing systems that embeds the output of binary Floyd-Steinberg (1975) error diffusion, or a low bit-depth gray-scale or color error diffused image into higher bit-depth gray-scale or color error diffused images. The benefits of this algorithm are that a low bit-depth halftoned image can be directly obtained from a higher bit-depth halftone for printing or pr...

This paper presents an additive watermarking technique for grey-scale pictures. It consists in secretly embedding copyright information (a binary code) into the picture without degrading its quality. Those bits are encoded through the phase of maximal length sequences (MLS). MLS are binary sequences with good correlation properties. The result of the autocorrelation is much greater than crossco...

An ideal binary masking, which specifies regions in the time-frequency domain whose concerned signal energy is greater than the interference signals is analyzed. The performance of the signal separation when these ideal binary masks are applied is evaluated. In the tests, these ideal masks remove almost all the interference from the other source of convolutive mixtures using simulated room impu...

This paper proposes a novel compensation technique developed in the log-spectral domain. Our proposal consists in a minimum mean square error (MMSE) estimator derived from an occlusion model [1]. According to this model, the effect of noise over speech is simplified to a binary masking, so that the noise is completely masked by the speech when the speech power dominates and the other way round ...

We report seven successful observations of the astrometric binary GJ 164 AB system with aperture masking interferometry. The companion, with a near infrared contrast of 5:1 was detected beyond the formal diffraction limit. Combined with astrometric observations from the literature, these observations fix the parallax of the system, and allow a model-independent mass determination of both compon...

This paper presents a method to suppress the bias artifact, also known as RF-inhomogeneity, in Magnetic Resonance Imaging (MRI). This artifact produces illumination variations due to magnetic field fluctuations of the device. In the latest years many works have been devoted to face this problem. In this work we present the 3D version of a new approach to bias correction, which is called Exponen...

In this paper, we present an Unsharp Masking-based approach for edge enhancing for TV application. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the temporal artifacts which are visible in an image sequence. Simulations show that the processed sequence presents sharp edges which make it more pleasant to the human eye. Moreover, the amount of...

Loftus, Johnson, and Shimamura (1975) displayed a test stimulus (a picture) followed by a masking stimulus either immediately or after a 300-ms delay. They attributed the superior performance obtained with the delayed mask to the continued availability of a visible icon. Here I suggest that Loftus et al.'s explanation is questionable on empirical and on conceptual grounds. Instead, I propose an...