Preserving details in restoring images highly corrupted by impulse noise remains a challenging problem. We proposed an algorithm based on radial basis functions (RBF) interpolation which estimates the intensities of corrupted pixels by their neighbors. In this algorithm, first intensity values of noisy pixels in the corrupted image are estimated using RBFs. Next, the image is smoothed. The prop...

In order to resolve the difficulty of direction finding in the strong impulse noise, based on maximum likelihood (ML) function and infinite norm, a infinite-norm maximum likelihood (IML) approach is proposed. The proposed approach can reduce the impact of impulse noise and improve the performance of the original ML algorithm significantly. In order to obtain the global optimal solution of the p...

background: military personnel are usually exposed to high levels of impulse noise (in) which can lead to hearing loss. objectives: the purpose of this study was to assess the effects of relatively low level exposure of impulse noise (in) during shooting practice on hearing using pure tone audiometry (pta) and transiently evoked otoacoustic emission (teoae) in military personnel. materials and ...

Reducing noise from the color images is a very active research scope in image processing. In this paper, a modified fuzzy based image filtering algorithm is proposed for reducing impulse noise. This paper presents a new fuzzy filter for the removal Impulse noise in color images. For dealing with the Impulse noise, an algorithm is developed to search for a set of uncorrupted pixels in the neighb...

The American National Standard, ANSI S12.42-2010 (R2020), specifies how to measure the impulse peak insertion loss (IPIL) for a hearing protection device (HPD) using an acoustic test fixture (ATF) with levels of LPeak = 132, 150, and 168 dB sound pressure level (dB pSPL). fixtures described in S12.42 have ear simulators that are limited below 172 pSPL. Two GRAS 45CB ATFs (with 40BP 40BH 1/4” mi...

Digital images are often contaminated by impulse noise during image acquisition and/or transmission over communication channel. A new Hybrid Neuro-Fuzzy (HNF) filter for restoring digital images corrupted by impulse noise is proposed in this paper. The proposed filter is a hybrid filter obtained by aptly combining a Nonlinear Filter (NF), Canny Edge Detector (CED) and an Adaptive Neuro-Fuzzy In...

The paper presents a fuzzy based impulse noise filter for both gray scale and color images. The proposed approach is based on the technique of boundary discriminative noise detection. The algorithm is a multi-step process comprising detection, filtering and color correction stages. The detection procedure classifies the pixels as corrupted and uncorrupted by computing decision boundaries, which...

Noise detection and Image restoration is a Universal research phenomena. There are number of existing techniques in terms of Noise Filters. Two of them are Trilateral filter proposed by Garnett, Huegerich and Chui [13] , and Dong, Raymond H. Chan, and Shufang Xu [17] are based on two types of Noise Model additive Gaussian noise and impulse noise, and there combination called mixed noise. Garnet...

A new constant modulus blind equalization based on direction gradient algorithm was proposed, which can obtain robust convergence performance under impulse noise environment. The impulse noise has no more than two order moments, so constant modulus algorithm (CMA) based on stochastic gradient descent algorithm is often ill-convergence or divergence. The direction gradient algorithm uses the rel...

A robust recursive least-squares (RLS) adaptive filter against impulsive noise is proposed for the situation of an unknown desired signal. By minimizing a saturable nonlinear constrained unsupervised cost function instead of the conventional least-squares function, a possible impulse-corrupted signal is prevented from entering the filter’s weight updating scheme. Moreover, a multi-step adaptive...