In this paper we have proposed a novel method for image denoising using local polynomial approximation (LPA) combined with the relative intersection of confidence intervals (RICI) rule. The algorithm performs separable column-wise and row-wise image denoising (i.e., independently by rows and by columns), combining the obtained results into the final image estimate. The newly developed method pe...

Ellipsoid fitting is a widely used technique in 3D shape modeling, which simultaneously estimate the center and orientation of 3D object. This paper explores the limits of performance for the ellipsoid-fitting center estimator. It is shown that the noise in the surface sample data can be approximated by a Gaussian distribution when the signal to noise ratio is high. The Cramér-Rao lower bound i...

Reversible data hiding can guarantee that the original image can be recovered from the marked image without any distortion. In this paper, an efficient multilevel reversible data hiding algorithm for video sequences is presented. Since the gray level distribution of the difference map is Laplacian, the peak point of the distribution thus leads into high data hiding capacity and good image quali...

This papers investigates underlying mechanisms for human response to wind turbine noise by studying the effects in terms of source detection, recognition and annoyance with and without road traffic noise. Recordings from a single 1.8-MW wind turbine have been mixed with samples of highway noise and of local roads at different signalto-noise ratios. These fragments have been presented to 50 norm...

In pulsed thermography the sample to test is briefly heated with a Dirac δ heat impulse and then observed through an infrared (IR) camera recording thermal images as the sample is cooling down. The difference of temperature on the IR images between the defective areas and the sound areas is referred to as a thermal contrast [1]. The Signal-to-Noise Ratio (SNR) of such a contrast is strongly aff...

[6]. ABSTRACT: The influence of different useful recording parameters in Fourier transform infrared spectra, on the signal-to-noise ratio is considered. We particularly studied the evolution of the signal to noise ratio with the spectral resolution, the transmission of different samples, the intensity of the background and the number of scans. This will allow an optimal extraction of spectral i...

Most of the wavelet threshold denoising methods need to calculate the corresponding threshold. The estimation of noise variance will directly affect the effect of threshold denoising method. This paper describes a new phase matching method of the noise variance estimation. The real-time noise can be estimated by this method. The experiments show that the method can greatly improve the signal to...

When we speak in an environment with noise, we often modify our speech production, and speech spoken in noise is generally more intelligible than speech produced in a quiet environment, which is known as the Lombard effect. Our goal is to provide intelligible speech announcements in noisy and/or reverberant public spaces, such as train stations. Thus, the present paper examines whether speech s...

To alleviate excessive smoothing of high signal-to-noise ratio (SNR) regions which are correspond to the structural features of MR images by using classical anisotropic diffusion (AD) filter. A novel AD filter called SNR controlled anisotropic diffusion is proposed. In this filter, an adaptive diffusivity function which is based on the correction factor of MR images was constructed. This adapti...

Optomechanical systems are often used for the measurement of weak forces. Feedback loops can be used in these systems for achieving noise reduction. Here we show that even though feedback is not able to improve the signal to noise ratio of the device in stationary conditions, it is possible to design a nonstationary strategy able to improve the sensitivity.