Images are often corrupted by impulse noise due to errors generate d in noisy sensors or communication channels. Two types of impulse noise can be defined: 1) fixed-valued and 2) random-valued. In many applications it is very important to remove noise in the images before some subsequent processing such as edge detection, object recognition and image segmentation. In this paper an adaptive filt...

Abstrak –The objective of this paper is a new MeanMedian filtering for denoising extremely corrupted images by impulsive noise. Whenever an image is converted from one form to another, some of degradation occurs at the output. Improvement in the quality of these degraded images can be achieved by the application of Restoration and /or Enhancement techniques. Noise removing is one of the categor...

Two fast algorithms for median ltering of images using parallel computers having 2-D mesh interconnections are given. Both algorithms assume that an n n image is loaded onto the mesh with one processing element per pixel. One algorithm performs median ltering over d d neighborhoods in O(d 2 ) time and works with pixel values in an arbitrarily large range. This algorithm, while theoretically sub...

The types and characteristics of noise in chip images were analyzed in this paper. A new kind of details preserving adaptive median filtering algorithm with directional sub-window was introduced in which the shape and size of filtering window can be adjusted according to the noise level and the sensitivity can be set by parameter. The filter can effectively get rid of most of the impulse noise ...

Inspired by the concept of the colour filter array (CFA), the research community has shown much interest in adapting the idea of CFA to the multispectral domain, producing multispectral filter arrays (MSFAs). In addition to newly devised methods of MSFA demosaicking, there exists a wide spectrum of methods developed for CFA. Among others, some vector based operations can be adapted naturally fo...

This paper deals with median filtering techniques suitable for digital color images. Median filters have successfully been used in gray scale imaging to remove impulsive noise but their extension to color images is not direct. The main difficulty is that an order has to be defined to sort the color vectors. In this paper, we selected four classical different and well established approaches prop...

Filtering out disturbances from transmitted or recovered measurement signals is one of the most important tasks of analog and digital signal processing for many decades. Removing of specific disturbances, having form of separate pulses (impulsive disturbances), requires specific algorithms because of very wide spectra of such pulses. The use of median procedures, especially of weighted medians,...

This work shows that the following problems are equivalent, both in theory and in practice: • median filtering : given an n-element vector, compute the sliding window median with window size k, • piecewise sorting : given an n-element vector, divide it in n/k blocks of length k and sort each block. By prior work, median filtering is known to be at least as hard as piecewise sorting: with a sing...

Quick sort algorithm is studied thoroughly, a new incomplete quick sort algorithm is designed, and then a novel image median filtering algorithm based on incomplete quick sort algorithm is proposed to improve the filtering speed. The new algorithm considers in detail the characteristic of image median filtering (In median filtering algorithm, the sorting operation of all pixel values is not nec...

This paper studies the applicability of ERS-1 and JERS SAR-images to land-use classification. Different factors affecting classification accuracy like environmental conditions of study area, speckle filtering, spatial averaging, texture measures and different ways to use temporal images are discussed. Classification experiment employing three principal component images computed from median filt...