Attenuating the noises plays an essential role in the image processing. Almost all the traditional median filters concern the removal of impulse noise having a single layer, whose noise gray level value is constant. In this paper, a new adaptive median filter is proposed to handle those images corrupted not only by single layer noise. The adaptive threshold median filter (ATMF) has been develop...

In this paper, a novel and effective method for removal of blotches and impulse noises in corrupted color images is discussed. The new method consists of two phases. The first phase is a noise detection phase where a nonlinear decision based algorithm is used to detect impulse noise pixels. The second is a noise filtering phase where a new algorithm based on performing vector median first in RG...

This paper presents two fuzzy filters for the removal of both Impulse and Gaussian noise in color images. A combination of these two filters also helps in eliminating a mixture of these two noises. For dealing with the Impulse noise, an algorithm is developed to search for a set of uncorrupted pixels in the neighbourhood of the pixel of interest (i.e. the central pixel) and to compute the media...

In last decade medical image quality improvement most popular topic for research. There are many methods are present for improving medical images. In the field of medical image processing, digital images very often get corrupted by several kinds of noise during the process of image acquisition. In this paper, we will present a new method for removal of impulse noise and enhancing magnetic reson...

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 ...

In last decade medical image quality improvement most popular topic for research. There are many methods are present for improving medical images. In the field of medical image processing, digital images very often get corrupted by several kinds of noise during the process of image acquisition. In this paper, we will present a new method for removal of impulse noise with edge preservation and e...

In this paper, a impulse noise removal approach is proposed where a modified boundary discrimative noise detection (MBDND) and an adaptive switching median filter (ASMF) are applied. Note that the BDND has difficulty in cases with high noise densities. A boundary resetting scheme is introduced in the BDND. By this doing, the problem of miss detection in the high noise density is prevented. Note...

This paper work presents efficient Trimmed Mean Adaptive Switching Bilateral Filter algorithms for the removal of impulse noise has been proposed with color images by separation redgreenblue plane of color image. The performance of the system is analyze in provisions of Mean square error (MSE), Peak signal to noise ratio (PSNR), Image enhancement factor (IEF) and time required for executing fil...

Image Reduction is one of the most important image processing tasks. In this article, a new fuzzy filter is presented for the removal of impulse noise in gray and color images. The filter consists of two stages. In the first stage, using trapezoid membership function four values are used to detect whether a given pixel contains noise or not. In the second stage fuzzy enhanced classifier is appl...