Image noise removal is most important pre-processing step of image processing. Filtering method is emphasized for all types of de-noising schemes used for noise removal. In this paper, we have study about the different methods based on non-linear filter to remove the impulse noise from images. Different image noise removal algorithms are studied and some parameters are compared in a wide range ...

We show that the reduced-rank output signal computed via truncated (Q)SVD is identical to that from an array of parallelly connected analysis-synthesis finite impulse response (FIR) filter pairs. The filter coefficients are determined by the (Q)SVD, and the filters provide an explicit description of the reduced-rank noise reduction algorithm in the frequency domain.

Digital filter provide an important role in world of communication and computation. The main aim of Designing a digital finite impulse response (FIR) filter is to provided the better solution which satisfying all the conditions for the practical application and researcher design different techniques for reduction of noise from signal and improved the efficiency of the signal. All these techniqu...

Nonparametric identification of linear systems is investigated in this paper. Nonparametric identification is the estimation of the time record of the impulse response of the system. It is a deconvolution problem, i.e., inverse operation of the convolution of the impulse response and the excitation signal. The problem is ill posed, i.e., deconvolution amplifies the measurement noise to a great ...

The images are affected by random valued impulse noises during the image capturing and processing stages. In this study, an efficient, high performance and low hardware utilized impulse noise reduction algorithm is presented. This methodology determines the optimum direction pixels through the estimation of standard deviation. The edges in the images are preserved during the process of impulse ...

Removal of noise is an essential and challengeable operation in image processing. Before performing any process, images must be first restored. Images may be corrupted by noise during image acquisition and transmission. Noise and blurring effects always corrupts any recorded image. To reduce the impulse noise level in digital images various filters were introduced amongst we have presented a co...

A novel approach to impulse noise reduction in color image is introduced in this paper. By applying the quaternion unit transform theory, the difference between two color pixels can be represented in the quaternion form. Based on the difference mentioned above, an efficient filter that can switch between the vector median filter (VMF) and the identity filter (no filtering operation) is proposed...

Image processing is methodology to convert an image into digital form. The digital form of data is less complex and easy to interpolate and give an enhanced image or to extract some useful information from it. By this Images are often corrupted by impulse noise during acquisition and transmission. These noises affect the information which is present in the images. There are several algorithms t...

In the presented paper a new approach to the problem of noise reduction of gray and colour images has been presented. The new method is based on the concept of a virtual particle performing a random walk on the image lattice, with transition probabilities defined by the median distribution. The major advantage of this algorithm, is that it filters the image, while preserving the image structure...

A significant portion of the end-to-end delay in highrate DSL systems is due to the Impulse Noise protection scheme employed in order to shield those systems against random, nonstationary noise bursts of high energy that appear on the copper lines. Systems are protected from Impulse Noise using a combination of interleaving and Reed-Solomon codes. In order to lower the end-to-end delay without ...