Impulse noise is the most common noise present in digital images. Removal of impulse noise from the images is a difficult task in image processing. Impulse noise occurs in images during the process of image transmission and image acquisition. Many noise removal techniques have been proposed, each having its own respective advantages and disadvantages. These noise removal techniques must be desi...

Noise hides the important details of images. An efficient noise removal method is an important issue in image processing. Several filters have already been developed in fact special filter is designed to remove only one particular type of noise like Traditional median filter successfully remove the low density impulse noise but fail to remove the high density impulse noise. This paper consists ...

This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise by means of morphological filtering. With the help of computer simulation we show that the proposed algorithm can effectively remove impulse no...

In this paper we present a novel structure for removal of impulse noise which is based on a combination of impulse detection and nonlinear ltering. The impulse detector is realized as a neural network which will be shown to possess a very simple structure. This means that, compared to traditional approaches, a signiicant gain in performance can be achieved with considerably smaller complexity. ...

Impulse noise is corrupted in the field of DIP applications of transmission and reception due to unwanted disturbance. So, the original image will corrupted at the acquiring end. The various denoising filter algorithm of impulse noise reduction in this survey were studied. So the impulse noise detection and removal technique, they have several drawbacks also discussed for various image with var...

in this paper, a novel decision based median (dbm) filter for enhancing mr images has been proposed. the method is based on eliminating impulse noise from mr images. a median-based method to remove impulse noise from digital mr images has been developed. each pixel is leveled from black to white like gray-level. the method is adjusted in order to decide whether the median operation can be appli...

This paper presents an ontological intelligent agent to remove impulse noise from highly corrupted images. It contains an image noise ontology to represent the image noise knowledge for the agent, a fuzzy inference mechanism for noise detection and removal, and an intelligent learning process for automatically generating the fuzzy numbers of the agent. The working environment for the intelligen...