IMPULSE NOISE REMOVAL TECHNIQUE BASED ON FUZZY LOGIC FOR CONTRAST ENHANCEMENT

Filter for Removal of Impulse Noise by Using Fuzzy Logic

Digital image processing is a subset of the electronic domain wherein the image is converted to an array of small integers, called pixels, representing a physical quantity such as scene radiance, stored in a digital memory, and processed by computer or other digital hardware. Fuzzy logic represents a good mathematical framework to deal with uncertainty of information. Fuzzy image processing [4]...

Parallel Fuzzy Filter for Impulse Noise Removal

A parallel algorithm for reducing impulse noise from color images is proposed. The algorithm is based on a fuzzy metric and is performed in two steps followed by noise filtering using the vector median filter. An implementation of the algorithm on multi-core interface using the Open MultiProcessing (OpenMP) is presented. A performance analysis with large images is conducted. Performance is eval...

An Enhanced Two-Stage Impulse Noise Removal Technique based on Fast ANFIS and Fuzzy Decision

Image enhancement plays a vital role in various applications. There are many techniques to remove the noise from the image and produce the clear visual of the image. Moreover, there are several filters and image smoothing techniques available in the literature. All these available techniques have certain limitations. Recently, neural networks are found to be a very efficient tool for image enha...

Simple Impulse Noise Cancellation Based on Fuzzy Logic

In this paper, we propose a simple fuzzy-based algorithm to remove the impulse noise from images. To achieve real-time applications, the proposed filter architecture, which combines fuzzy noise detection and noise filtering, is also designed. With low computational complexity, simulation results show that the proposed filters can effectively remove the impulse noise.

A Novel Two-Stage Impulse Noise Removal Technique based on Neural Networks and Fuzzy Decision