A spatial domain non linear filtering algorithm for the restoration of gray scale, and Color images that are corrupted by high density impulse noise is proposed. The proposed algorithm well suited for suppressing impulse and also Gaussian noises with different noise leves.It shows better results than the Standard Median Filter (MF), Trimmed Median Filter (TMF) and Weighted Median Filter. Experi...

Images are rich information carriers and (such as medical images) are normally contaminated by additive and substitutive noise which makes the extraction of features (and clinical data analysis) difficult. Hence to enhance the image quality prior to post processing, image pre-processing operations such as de-noising with linear and non-linear filters have been applied traditionally. Recently no...

A scheme based on pulse control is described for suppressing noise in quantum computation without the cost of stringent quantum computing resources. It is shown that environment-induced noise and decoherence, whether in quantum memory or in gate operations, all can be much reduced by applying a suitable sequence of bit-flipping and phase-flipping pulses. q 1999 Published by Elsevier Science B.V...

We seek optimal methods of estimating power spectrum and chirp (frequency change) rate for the case that one has incomplete noisy data on values y(t) of a time series. The Schuster periodogram turns out to be a \su cient statistic" for the spectrum, a generalization playing the same role for chirped signals. However, the optimal processing is not a linear ltering operation like the Blackman{Tuk...

An iterative model for contrast detection, which accounts for the contrast invariance of orientation preference, has been recently suggested [16]. The work here extends the iterative model by incorporating a cross-oriented suppression of simple cells in the primary visual cortex (V1). The modified model has a better performance in terms of robustness to noise, generates sharper edge responses w...

BACKGROUND Understanding speech in the presence of background noise often becomes increasingly difficult with age. These age-related speech processing deficits reflect impairments in temporal acuity. Gap detection is a model for temporal acuity in speech processing in which a gap inserted in white noise acts as a cue that attenuates subsequent startle responses. Lesion studies have shown that a...

This paper proposes two edge detection methods for medical images by integrating the advantages of Gabor wavelet transform (GWT) and unsupervised clustering algorithms. The GWT is used to enhance the edge information in an image while suppressing noise. Following this, the k-means and Fuzzy c-means (FCM) clustering algorithms are used to convert a gray level image into a binary image. The propo...

Cooling of mesoscopic mechanical resonators represents a primary concern in cavity optomechanics. In this Letter, in the strong optomechanical coupling regime, we propose to dynamically control the cavity dissipation, which is able to significantly accelerate the cooling process while strongly suppressing the heating noise. Furthermore, the dynamic control is capable of overcoming quantum backa...

This paper introduces a class of nonlinear multichannel filters capable of removing impulsive noise in color images. The hereproposed generalized selection weighted vector filter class constitutes a powerful filtering framework for multichannel signal processing. Previously defined multichannel filters such as vector median filter, basic vector directional filter, directional-distance filter, w...

Various nonlinear, fixed-neighborhood techniques based on local statistics have been proposed in the literature for filtering noise in color images. We present adaptive-neighborhood filtering (ANF) techniques for noise removal in color images. The main idea is to find for each pixel (called the “seed” when being processed) a variable-shaped, variable-sized neighborhood that contains only pixels...