Robust Algorithm for Impulse Noise Reduction

Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 7

Abstract

This Paper presents highly efficient two phase schema for removing impulse noise. In the first phase, robust algorithm for noise detection is used to identify noisy pixels. In the second phase, the image is restored using special noise control lgorithm. Efficiency of algorithm is tested by comparing with most powerful AMF (Adaptive Median Filter), DBA (Decision Based algorithm) and MTND (Median Type Noise Detector). An experimental result shows that the proposed algorithm works efficiently up to 99% of noise ratio.

Authors and Affiliations

Manohar Annappa Koli

Keywords

Related Articles

Intelligent Public Transport Information System

To increase the usability of a public transport system it needs to go under revolutionary changes in its operating procedure. It is an attempt to make this possible using recent computer technology, mobile computing adva...

A PATTERN RECOGNITION LEXI SEARCH APPROACH TO TRAVELLING SALESMAN PROBLEM WITH ADDITIONAL CONSTRAINTS

There are n cities and N = {1, 2,… n}. Let {1} be the headquarter city and the subheadquarter cities i.e.,H = {a1, a2… ah} be the subset of N. The cost array C (i, j) indicates the cost of the travelling salesman by visi...

ACO Based Feature Subset Selection for Multiple k-Nearest Neighbor Classifiers

The k-nearest neighbor (k-NN) is one of the most popular algorithms used for classification in various fields of pattern recognition & data mining problems. In k-nearest neighbor classification, the result of a new i...

Location Management Techniques to Improve QoS in Mobile Networks Using Intelligent Agent

Location Management (LM) is one of the major issues of mobile networks that should be taken into account for providing Quality of Service (QoS) and to meet the subscribers demand (satisfaction). Location management techn...

Sampling based Association Rules Mining- A Recent Overview

Abstract Association rule discovery from large databases is one of the tedious tasks in datamining.The process of frequent itemset mining, the first step in the mining of association rules, is a computational and IO in...

Download PDF file
  • EP ID EP97287
  • DOI -
  • Views 130
  • Downloads 0

How To Cite

Manohar Annappa Koli (2010). Robust Algorithm for Impulse Noise Reduction. International Journal on Computer Science and Engineering, 2(7), 2375-2377. https://europub.co.uk/articles/-A-97287