A Fast Switching Filter for Impulsive Noise Removal from Color Images

TL;DR

This paper introduces a rapid color image filter that effectively removes impulsive noise by utilizing the HSL color space and peer group detection, outperforming existing methods in speed and quality.

Contribution

A novel fast switching filter leveraging the HSL color space and peer group concept for impulsive noise removal in color images.

Findings

The proposed filter is extremely fast.

It achieves excellent noise removal results.

Outperforms state-of-the-art filters.

Abstract

In this paper, we present a fast switching filter for impulsive noise removal from color images. The filter exploits the HSL color space, and is based on the peer group concept, which allows for the fast detection of noise in a neighborhood without resorting to pairwise distance computations between each pixel. Experiments on large set of diverse images demonstrate that the proposed approach is not only extremely fast, but also gives excellent results in comparison to various state-of-the-art filters.