Optimal Weights Mixed Filter for Removing Mixture of Gaussian and Impulse Noises

TL;DR

This paper introduces the Optimal Weights Mixed Filter (OWMF), a novel approach combining modified ROADG and OWF to effectively remove mixed Gaussian and impulse noise from images.

Contribution

The paper proposes a new filtering method that effectively detects and removes mixed Gaussian and impulse noise by modifying ROAD and integrating it with OWF.

Findings

Effective noise removal demonstrated through simulations

Superior performance on mixed noise compared to existing methods

Robust detection of impulse noise in Gaussian background

Abstract

According to the character of Gaussian, we modify the Rank-Ordered Absolute Differences (ROAD) to Rank-Ordered Absolute Differences of mixture of Gaussian and impulse noises (ROADG). It will be more effective to detect impulse noise when the impulse is mixed with Gaussian noise. Combining rightly the ROADG with Optimal Weights Filter (OWF), we obtain a new method to deal with the mixed noise, called Optimal Weights Mixed Filter (OWMF). The simulation results show that the method is effective to remove the mixed noise.