In digital image processing noise removal or noise filtering plays an important role, because for meaningful and useful processing images should not be corrupted by noises. In recent years, high quality televisions have become very popular but noise often affects TV broadcasts. Impulse noise corrupts the video during transmission and acquisition of signals. A number of denoising techniques have...

A new switching median filter is proposed for denoising of gray-scale images, extremely corrupted by salt-and-pepper noise. The proposed model for noise removal is a multiscale detection based adaptive median filter. This method consists of mainly two parts, namely, the thresholding based multiscale noise detection and the filtering. The detection of impulse noise is carried out in two stages. ...

This paper presents a novel two-stage adaptive noise reduction scheme for images corrupted by salt and pepper noise. The first stage identifies the impulse noise in the image by classifying the pixels into two classesthe 'noise-free pixels' and the 'noise corrupted pixels', based on the intensity values of the pixels. The second stage aims to reduce the impulse noise from th...

Mixed noise expulsion from characteristic images is a testing errand since the noise dispersion normally does not have a parametric model and has an overwhelming tail. One sort of the mixed noise is Additive White Gaussian Noise (AWGN) coupled with Impulse Noise (IN).However, first catch the region of IN pixels and afterward evacuate the mixed noise. On the other hand, such techniques have a te...

Corrupted digital images are recovered by using median filters. The most frequently occur noise is salt and pepper type impulse noise. As the noise increases it becomes hard to recover the noisy digital image. Different median filters have been suggested to recover it. Size of the window taken in the filter is also the important factor at different level of noises. The performance of standard m...

OBJECTIVES The aim of the study was to assess the influence of short-term impulse noise on the size and dynamics of temporary threshold shift, which precedes permanent threshold shift, i.e. noise-induced hearing loss. It was hoped to use the findings for preventive activities. MATERIALS AND METHODS The study included 80 healthy subjects (160 ears), aged 19-23 years, divided into two groups: g...

The Wigner distribution (WD) produces highly concentrated time–frequency (TF) representation of nonstationary signals. It may be used as an efficient signal analysis tool, including the cases of frequency modulated signals corrupted with the Gaussian noise. In some applications, a significant amount of impulse noise is present. Then, the WD fails to produce satisfactory results. The robust peri...

An algorithm of the color image noise removal algorithm is put forward based on the pixel operations. The idea of the algorithm is to read every pixel in a set order and determine whether the pixel level is consistent with the probability density function of impulse noise or not. If it is similar to noise pixel, the number of impulse noise in a certain mask is counted. If the number is less tha...

Noise removal is the fundamental problem in image processing.Knowledge of Noise Distribution is important in image denoising. Removing mixed noise from an image is since a difficult task as the characteristics of different types of noises are different.The commonly experienced mixed noise is impulse Noise(IN) together mixed with additive White Gaussian noise(AWGN).Various mixed noise removal me...