In this paper we develop a fuzzy image filter which consists of a multi-layered fuzzy structure based on the weighted fuzzy blend filter for the removal of noise from images heavily corrupted by impulse noise, while preserving the intricate details of the image. The introduction of multi-layered fuzzy systems substantially decreases the number of rules to be learnt. We then show how Evolutionar...

Images are often corrupted by impulse noise due to a noisy sensor or channel transmission errors. The goal of impulse noise removal is to suppress the noise by preserving the integrity of edges and detail information. In this paper, a new filter called Switching Weighted Adaptive Median (SWAM) filter is proposed for effective suppression of impulse noise which is used to incorporate the Recursi...

A robust open close sequence filter based on mathematical morphology for high probability impulse noise removal is presented. First, an impulse noise detector using mathematical residues is proposed to identify pixels that are contaminated by the salt or pepper noise. Then the image is restored using specialized open-close sequence algorithms that apply only to the noisy pixels. Finally, black ...

As the performance of the filtering system depends upon the accuracy of the noise detection scheme, in this paper, we present a new scheme for impulse noise detection based on two levels of decision. In this scheme in the first stage we coarsely identify the corrupted pixels and in the second stage we finally decide whether the pixel under consideration is really corrupt or not. The efficacy of...

Denoising is a fundamental problem in image processing. Mixed noise removal from natural images is a challenging task since the noise distribution usually does not have a parametric model and has a heavy tail. Two types of commonly encountered noise are additive white Gaussian noise (AWGN) and impulse noise (IN). Many of the existing mixed noise removal methods are detection based methods. They...

It is imperative to remove impulse noise corrupted pixels in images, in order to facilitate the subsequent processing such as image analysis, segmentation, pattern recognition etc. Many linear and non linear filtering techniques have been proposed earlier to remove impulse noise, however the removal of impulse noise is often accomplished at the expense of blurred and distorted features of edges...

Noise is impulse on images due to several factors like malfunctioning in pixels due to camera sensor, transmission of images in noisy channel, hardware problem etc. This paper surveys various techniques for removal of impulse noise. To reduce the impulse noise level in Digital images various filters were introduced amongst which (SAM) Simple Adaptive Median is one of the method, which uses hybr...

Removing mixed noise from images is one of the challenging problem. In this paper, review the types of filtering approach and noise detection technique for remove mixed noise from images. Switching bilateral filter is one of the best methods for removing mixed noise. Compare to other filters, the switching scheme is best one for restore high level impulse noise in images. Computational complexi...