The impulse noise is caused by sharp, sudden disturbances in the image signal. Its appearance is randomly scattered white or black (or both) pixels over the image. In this paper, an efficient VLSI implementation for removing impulse noise using CLA is presented. Our result preserves the edge features and obtains excellent performances in terms of quantitative evaluation and visual quality The d...

This paper presents a new method for filtering the impulse noise in images. This is a two-stage approach in which an impulse is first detected by thresholding the energy of the prediction error in a block-based twodimensional linear prediction of the image intensity. The median filter is subsequently applied to the pixels detected to be corrupted by the impulse noise. Simulation results show th...

annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. it is a fact that fuzzy theory presents full capability in this field. fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. in this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...

Asymmetric Trimmed Median Filter for Image denoising is proposed in this paper. This technique can be used for restoring the images extremely corrupted with random valued impulse noise. This paper introduces an impulse detection technique and decision based median filter for restoring the corrupted images. The detection technique is used for discriminating between corrupted and uncorrupted imag...

Removal of random value impulse noise is essential to help successive process like image segmentation, analysis, pattern recognition etc. To remove uniform/randomvalued impulse noise without compromising the image detail information such as sharp edges, Modified Directional Weighted Median Filter (MDWMF) is proposed. The proposed filter utilizes the second order difference (SOD) along with a th...

Data acquisition is the most important task for any system or application that includes signals. The principal source of impulse noise in digital image arises during image acquisition and transmission. The main objective of this paper is to reduce the impulse noise with less computation complexity, less memory while achieving high quantative evaluation and visual quality. In this paper, VLSI ar...

In this paper, a morphological approach based on pixel connectivity is proposed for removing impulse noise in images. Impulse noise, also called the salt and pepper noise, usually occurs in dark and bright regions of the image and the presence of this noise degrades the visual quality of the image by affecting its texture and fine details. Our algorithm first identifies the noisy pixels in imag...

Noise is caused by malfunctioning pixels in camera sensors, faulty memory locations in hardware, or transmission in a noisy channel. Two common types of impulse noise are the salt-and-pepper noise and the random-valued noise. There are many works on the restoration of images corrupted by impulse noise. The median filter was once the most popular nonlinear filter for removing impulse noise, beca...

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...

The aim of the paper is to remove the noise in the images and at the same time to preserve the edges, fine details and texture in the image. This paper proposes a novel Adaptive Neuro Fuzzy Inference System (ANFIS) filter to remove impulse, Gaussian and mixed noise without affecting edges and texture of an image. It is a hybrid filter constructed by combining an appropriate noise filter, an edg...