A New Adaptive Filter to Remove Impulsive Noise in Color Images - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEJ Transactions on Electrical and Electronic Engineering Année : 2022

A New Adaptive Filter to Remove Impulsive Noise in Color Images

Résumé

In this paper, a new adaptive vector directional distance filter (AVDDF) is proposed. The AVDDF filter is developed to remove the ‘salt and papper’ impulsive noise in color images. This algorithm consists in first step to detect pixels that are likely to have been contaminated with noise by using a threshold value. In second step, after recognizing the corrupted pixels, the smallest angular-magnitude distance is used to replace the noisy pixels. The proposed filter is tested with several standard color images which are contaminated with various levels of ‘salt and pepper’ impulsive noise (3%, 5%, 10%, 20% and 30%). The performance of the proposed filter is measured with peak signal-to-noise ratio (PSNR) and normalized color difference (NCD). The simulation results show that the proposed filter permits to ameliorate the performance of the classic vector directional distance filter (VDDF). Indeed, it provides an improvement by an average of 5% and 26% in the PSNR and NCD relative to the VDDF filter, respectively, with a small increase in the execution time by 6%. Besides, the AVDDF filter allows also an enhancement by an average of 2% and 14% in the PSNR and NCD relative to adaptive vector median filter (AVMF), respectively.
Fichier non déposé

Dates et versions

hal-03950279 , version 1 (21-01-2023)

Identifiants

Citer

Ahmed Ben Atitallah. A New Adaptive Filter to Remove Impulsive Noise in Color Images. IEEJ Transactions on Electrical and Electronic Engineering, 2022, 17 (7), pp.1048-1053. ⟨10.1002/tee.23594⟩. ⟨hal-03950279⟩
16 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More