Image denoising by median filter in wavelet domain

TL;DR

This paper introduces a novel image de-noising technique combining median filtering with wavelet transform, demonstrating improved results over traditional methods through experimental evaluation.

Contribution

The paper proposes a new hybrid de-noising method using median filter in the wavelet domain, enhancing image restoration quality.

Findings

The proposed method outperforms standalone wavelet or median filtering in noise reduction.

Wavelet filters combined with median filtering yield lower MSE and higher PSNR.

Experimental results confirm the effectiveness of the hybrid approach.

Abstract

The details of an image with noise may be restored by removing noise through a suitable image de-noising method. In this research, a new method of image de-noising based on using median filter (MF) in the wavelet domain is proposed and tested. Various types of wavelet transform filters are used in conjunction with median filter in experimenting with the proposed approach in order to obtain better results for image de-noising process, and, consequently to select the best suited filter. Wavelet transform working on the frequencies of sub-bands split from an image is a powerful method for analysis of images. According to this experimental work, the proposed method presents better results than using only wavelet transform or median filter alone. The MSE and PSNR values are used for measuring the improvement in de-noised images.