In this paper we proposed an efficient mechanism for removal of impulse noise from the digital images. The proposed filter is Segment based Constructive median (SCM), is integration of a cascaded easy to implement impulse detector and a detail preserving noise filter. In the first phase ,the impulse detector classifies any possible impulsive noise pixels. In the second phase filtering replaces ...

Impulse noise is the most common noise present in digital images. Removal of impulse noise from the images is a difficult task in image processing. Impulse noise occurs in images during the process of image transmission and image acquisition. Many noise removal techniques have been proposed, each having its own respective advantages and disadvantages. These noise removal techniques must be desi...

This work was supported by an Australian Research Council (ARC) Large Grant. Abstract—Impulse noise is a significant problem in some OFDM applications including digital television broadcasting. In this paper we study the optimum threshold values for a novel decision directed impulse noise mitigation algorithm. In this algorithm the noise component in each received input sample is estimated base...

In this paper, we present an implementation of the PARIGI method that addresses the problem of the restoration of images affected by impulse noise or by a mixture of Gaussian and impulse noise. The method relies on a patch-based approach, which requires careful choices for both the distance between patches and for the statistical estimator of the original patch. Experiments are performed in the...

We discuss the influence of random-and periodic impulse noise on narrowband (< 500 kHz frequency band) Power Line Communications. We start with random impulse noise and compare the properties of the measured impulse noise with the common theoretical models like Middleton Class-A and Mixed Gaussian. The main difference is the fact that the measured impulse noise is noise with memory for the narr...

A new method is proposed to eliminate impulse noise with a random intensity distribution in digital images. The method is based on impulse noise detection by means of a self-organizing tree map (SOTM) and a class of noise-exclusive adaptive filters. The SOTM classifies the image pixels into clusters and locates the cluster centers that represent the mean intensities of the impulse noise. Based ...

Median filter is widely used to remove impulse noise without blurring sharp edges. However, when noise level increased, or with thin edges, median filter may work poorly. This paper proposes a new filter, which will detect edges along four possible directions, and then replace noise corrupted pixel with estimated noise-free edge median value. Simulations show that the proposed multi-stage direc...

In this paper a multi-statistics model of the impulse noise is presented. An impressive experimental noise data collection acquired from digital access loops provides the synthetic noise environment with the most convenient probability density functions. Internal and external impulse noise sources within communications copper lines are briefly surveyed. A wide-band noise measuring circuit is us...