Speckle is a random multiplicative noise which obscures the perception and extraction of fine details in ultrasound images and speckle reduction is necessary to improve the visual quality of ultrasound images for better diagnosis. This study aims at introducing an algorithm by hybridizing bilateral filter with NeighShrink. The bilateral filter is applied before decomposition and after reconstru...

A nonlinear recursive filter for the suppression of impulsive noises is proposed. This filter selects from each window a sample closest in value to the most recent output, and is thus named the lust output reference (LOR) filter. A relationship between the LOR and recursive median filters is derived, and some statistical properties are studied through computer simulations. The results indicate ...

Speaker recognition in mobile devices suffers from poor performance in noisy environments, necessitating the use of noisesuppression algorithms. These typically apply time-frequency masks – optimised on the signal statistics – to the noisy signal spectrum, suppressing the noise components while preserving the speech. Studies in the field of speech recognition demonstrate that ideal time-frequen...

Accurate recognition of speech in noisy environment is still an obstacle for wider application of speech recognition technology. Noise reduction, which is aimed at cleaning the corrupted testing signal to match the ideal training conditions, remain to be an effective approach to improving the accuracy of speech recognition in noisy environment. This paper introduces a new algorithm of noise red...

The wavelet multiscale edge representation of signals developed by Mallat and Zhong provides a new tool for signal and image processing. We built up a tree structure of wavelet-transform(WT) maxima and developed metrics for analyzing the WT maxima tree. These metrics fall into two classes corresponding to two perceptual criteria, scaling and spatial stabilities, for discriminating features from...