As reducing impulse noise in a digital image is a very active research area in image processing, this paper proposes a novel algorithm for digital image impulsive noise detection and reduction based on adaptive nonlinear techniques which seems to be a boom in digital image restoration process. The main objective of this algorithm is to consider a particular digital image as input and make the p...

This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. In the proposed filtering algorithm, the rule membership functions are tuned iteratively in order to preserve the image edges. Several test experiments we...

In this paper, the standard Kalman filter is implemented to denoise the three dimensional signals affected by additive white Gaussian noise (AWGN), we used fast algorithm based on Laplacian operator to measure the noise variance and a fast median filter to predict the state variable. The Kalman algorithm is modeled by adjusting its parameters for better performance in both filtering and in redu...

In our algorithm the gradient of 8 (the gradient direction) in a grey level image is employed for detecting candidates for corner points. Two theorems show that this quantity attains a local maximum at a corner point. Two approaches, median filtering and Hough transform are used effectively to distinguish corner points from noise points. The corner points formed by our algorithm are used in int...

A new algorithm based on scale-space median and gabor filtering is used to find boundaries in electron microscopy images under noise and low contrast. Boundary information from different scales are fused to find triple junctions and dihedral angles that are of use in material science. The proposed algorithm has been tested on various electron microscopy images and has been shown to be robust to...